Adaptix, Inc. v. Apple Inc et al

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COMPLAINT of Patent Infringement against Apple Inc, Cellco Partnership ( Filing fee $ 400, receipt number 0971-8036744.). Filed byAdaptix, Inc.. (Attachments: # 1 Exhibit A to Complaint, # 2 Exhibit B to Complaint, # 3 Civil Cover Sheet)(Shafer, Daniel) (Filed on 9/26/2013)

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EXHIBIT A US007454212B2 (12) United States Patent (10) Patent N0.: Li et a]. (54) (45) Date of Patent: OFDMA WITH ADAPTIVE (56) Nov. 18, 2008 References Cited SUBCARRIER-CLUSTER CONFIGURATION AND SELECTIVE LOADING (75) US 7,454,212 B2 US. PATENT DOCUMENTS Inventors: Xiaodong Li, Bellevue, WA (US); Hui 4,670,889 A 6/1987 Hewitt et al' Liu, Sammamish, WA (US); Kemin Li, Bellevue, WA (US); Wenzhong Zhang, Bellevue, WA (US) (73) Assignee: AdaptiX, Inc., Bellevue, WA (US) (*) Notice: (Continued) FOREIGN PATENT DOCUMENTS Subject to any disclaimer, the term of this patent is extended or adjusted under 35 DE 198 00 953 7/1999 U.S.C. 154(b) by 0 days. (21) Appl.No.: 11/199,586 (22) Filed: Aug. 8, 2005 (65) (Continued) Prior Publication Data US 2006/0083210A1 OTHER PUBLICATIONS Apr. 20, 2006 . . Wong et al. “Multiuser OFDM with Adaptive Subcarrier, Bit, and Related U's' Apphcatlon Data Power Allocation”, IEEE Journal on Selected Areas in Communica (63) Continuation of application No. 09/738,086, ?led on ti0I1S~IEEE~NeWY0f1<,U$, 1999, V01~ 17,NR~ 10,1311 1747-1758 Dec, 15, 2000, now Pat, No, 6,947,748, Mexican Of?ce Action issued for PNa/2003/005311 dated Mar. 31, (51) Int. C1. 2006 H04B 17/00 (2006.01) (Continued) H04B 7/00 H04Q 7/20 H04Q 7/00 (2006.01) (2006.01) (2006.01) Primary ExamineriMeless N ZeWdu (74) Attorney, Agent, or FirmiFulbright & JaWorski L.L.P. H04Q 7/28 (52) (2006.01) H04M 1/00 H04M 1/38 (2006.01) (2006.01) (57) US. Cl. .................... .. 455/450; 455/67.11; 455/69; 455M522. 455/464. 455/509. 455/5501. 455/5562;455/561;370/329;370/341 (58) ABSTRACT Field of Classi?cation Search ............ .. 455/1791 A method and apparatus for subcarrier selection for systems is described. In one embodiment, the system employs onhogonal frequency division multiple access (OFDMA)~ In 455/188 1 422 1 516*517 67 11 561 562 1’ 4 5 5 /13 2435 4 565*4 566 4 5 5 423*425 one embodiment, a method for subcarrier selection comprises each of multiple subscribers measuring channel and interfer 455/63_1i63_2’ 6245 41_2l41_3’ 443*453’ 455/463i464 509:510 55,3 512*513’ 524*526’ ence information for subcarriers based on pilot symbols received from a base station, at least one ofsubscribers select 455/55’01 1681’ 1761 69 70’ 266 403’ ing a set of candidate subcarriers, providing feedback infor 4 55 /500 556,2. 370}203i2’10 511’ 3 4 6L3 47’ 370/46’5i480’ 312*314 319L322’ 328*330’ mation on the set of candidate subcarriers to the base station, and the one subscriber receiving an indication of subcarriers 370/338’ 541*344’ $39521, 39,5 '41’ 430: 370/437, 447, 449, 458, 461*462, 913; 375/311, 375/240, 240.07, 24011 ofthe set ofsubcarriers selected by the base station for use by ‘he Onesubsc?ber See application ?le for complete search hi story. 3 3 Claims, 7 Drawing Sheets Be in Peliudimlly Broadcast Pllnl _, 101 OFDM Symbols l0 Suhsclihers Suhecribeds) Cunlinuuusly Monitors Pllul Symbols/Measures SINR end/0| ~10? Omar Parameters , , Reviving Each Subscriber Selects One nrMnre ‘103 "0 Clusters for Each Base Slalicrl Needed 7 1 Ease Slat‘ Clusle Selecls One or More I Each Subscriber Ease Slallon Noti?es me Suhsuriber Regarding Cluster Allocation _, 104 ‘ 1 "5 US 7,454,212 B2 Page 2 2005/0025099 A1 U.S. PATENT DOCUMENTS 5,280,630 5,437,054 5,479,447 5,504,775 5,507,034 5,515,378 5,555,268 5,588,020 5,708,973 5,726,978 5,734,967 5,774,808 5,822,372 5,839,074 5,867,478 5,886,988 5,887,245 5,909,436 5,914,933 5,933,421 5,956,642 5,973,642 5,991,273 6,005,876 6,009,553 6,023,622 6,026,123 6,041,237 6,052,594 6,061,568 6,064,692 6,064,694 6,067,290 6,091,955 6,108,374 6,111,919 6,131,016 6,141,565 6,144,696 6,226,320 6,282,185 6,298,092 6,307,851 6,327,472 6,330,460 6,366,195 6,377,632 6,377,636 6,411,186 6,415,153 6,449,246 6,473,467 6,477,158 6,526,281 6,545,997 6,553,011 6,567,383 6,657,949 6,726,297 6,904,283 6,920,122 6,985,432 7,047,011 7,373,151 2002/0114269 2003/0067890 2003/0169681 2003/0169824 A1 A1 A1 A1 1/1994 7/1995 12/1995 4/1996 4/1996 5/1996 9/1996 12/1996 1/1998 3/1998 3/1998 6/1998 10/1998 11/1998 2/1999 3/1999 3/1999 6/1999 6/1999 8/1999 9/1999 10/1999 11/1999 12/1999 12/1999 2/2000 2/2000 3/2000 4/2000 5/2000 5/2000 5/2000 5/2000 7/2000 8/2000 8/2000 10/2000 10/2000 11/2000 5/2001 8/2001 10/2001 10/2001 12/2001 12/2001 4/2002 4/2002 4/2002 6/2002 7/2002 9/2002 10/2002 11/2002 2/2003 4/2003 4/2003 5/2003 12/2003 4/2004 6/2005 7/2005 1/2006 5/2006 5/2008 8/2002 4/2003 9/2003 9/2003 Wang FOREIGN PATENT DOCUMENTS Rappaport et al. DE Chouly et al. Bodin et al. ............. .. 455/34.1 Roy, III et al. Fattouche et al. Schilling Ritter Frodigh et al. ............ .. 370/252 Kotzin et al. Sarkioja et al. Emami Plehn et al. Baum et al. Yun et al. Lindroth et al. 198 00 953 C1 7/1999 DE DE Chow et al. 19800953 * 019800953 C1 * 7/1999 7/1999 EP EP EP EP EP EP FR JP KR W0 W0 W0 0 869 647 0882377 0 926 912 0 929 202 0 999 658 0999658 2 777 407 06029922 1999-28244 WO 98/16077 WO 98/30047 W0 02 49305 A2 B1 A2 A1 A1 A2 A1 A2 10/1998 4/1999 6/1999 7/1999 5/2000 5/2000 10/1999 2/1994 4/1999 4/1998 7/1998 6/2002 OTHER PUBLICATIONS Engstrom et al. Cimini et al. Alamouti et al. Larsson et al. ............ .. 455/449 Li et al. Abu-Dayya Cimini, Jr. et al. Martinez et al. Plaschke et al. Williams Farsakh Chuang et al. ............ .. 455/450 Dent Chow Clark et al. Ye Li et al.; “Clustered OFDM with Channel Estimation for High Rate Wireless Data”; Mobile Multimedia Communications, 1999. (MoMuC’99) 1999 IEEE International Workshop on Nov. 15-17, 1999; pp. 43-50. Korean Of?ce Action issued for 2003-7007962 dated Apr. 28, 2006. Korean Of?ce Action issued for 2003-7007963 dated Apr. 29, 2006. Bender et al., CDMNHDR: A Bandwidth-Ef?cient High-Speed Wireless Data Service for Nomadic Users, IEEE Communications Magazine, Jul. 2000, pp. 70-87. ** Frullone et al., PRMA Performance in Cellular Environments with Self-Adaptive Channel Allocation Strategies, IEEE Transactions on Vehicular Technology, Nov. 1996, pp. 657-665, vol. 45, No. 4. ** Xu, Guanghan and Li, San-Qi, Throughput Multiplication of Wire less Lans for Multimedia Services: SDMA Protocol Design, 1994 IEEE, pp. 1326-1332. ** Paulraj et al. Aalto et al. 2/2005 Heath et al. Ward, James and Compton, R. Ted, Jr., High Throughput Slotted ............... .. 455/447 Balachandran et al. Yonge, III Greenstein et al. Feuerstein et al. ........ .. 455/560 Shively et al. Aloha Packet Radio Networks with Adaptive Arrays, IEEE Transac tions on Communications, Mar. 1993, pp. 460-470, vol. 41, No. 3.** Tsoulos, G.V., Smart Antennas for Mobile Communication Systems: Bene?ts and Challenges, Electronics & Communication Engineering Journal, Apr. 1999, pp. 84-94.** Hakkinen et al. Hakkinen et al. Shad et al., Indoor SDMA Capacity Using a Smart Antenna Basesta tion, 1997 IEEE, pp. 868-872.** Farsakh, Christof and Nossek, Josef A., On the Mobile Radio Capac Heath, Jr. ity Increase Through SDMA, no date (after 1997).** Jung et al. Farsakh, C. et al., “Maximizing the SDMA Mobile Radio Capacity Increase by DOA Sensitive Channel Allocation,” Wireless Personal Communications, Kluwer Academic Publishers, NL, vol. 11, No. 1. Oct. 1999, pp. 63-76, XP000835062, ISSN: 0929-6212.** Wong, C. Y, et al., Multiuser OFDM With Adaptive Subcarrier, Bit, Westroos et al. .......... .. 455/450 Wong et al. ............... .. 455/562 Harel et al. Paulraj et al. Paulraj et al. Lilleberg et al. and Power Allocation, IEEE Journal on Selected Areas in Commu nications, Oct. 1999, IEEE Inc., NewYork, USA, vol. 17, Nr. 10, pp. 1747-1758, XP000855475, ISSN: 0733-8716 Sections I and II abstract.** Liew Barton et al. Wallace et al. ............ .. 375/267 Take Gorsuch et al. Gruenheid, R. et al: “Adaptive Modulcation and Multiple Access for the OFDM Transmission Technique,” Wireless Personal Communi cations, Kluwer Academic Publishers, NL, vol. 13, NR. 1/2, Year ........ .. 455/452.1 Bohnke et al. 2000, pp. 5-13 XP000894156, ISSN: 0929-6212.** Motegi, M. et al.: Optimum Band Allocation According to Subband Yan et al. .................. .. 370/328 Condition for BST-OFDM 11th IEEE International Symposium on Bohnke Jones, IV et al. Personal Indoor and Modile Radio Communications, vol. 2, Sep. Uesugi ISBN: 0-7803-6463-5.** Li et al. .................... .. 455/450 Kapoor, S. et al.: “Adaptive Interference Suppression in Multiuser Wireless, OFDM Systems using Antenna Arrays,” IEEE Transactions on Signal Processing, vol. 47, No. 12, Dec. 1999, pp. 3381-3391, XP000935422, IEEE, NY, USA, ISSN: 1053-587X.** Hanaoka et al. Hadad ...................... .. 370/203 Wikman et al. Ahmed Onggosanusi et al. Goel et al. Li et al. Chayat 18-21, 2000, pp. 1236-1240, XP002213669, Piscataway, NJ, USA, Ye Li, et al.: “Clustered OFDM with channel estimation for high rate wireless data,” Mobile Multimedia Communications, 1999. (MOMUC ’99). 1999 IEEE International Workshop on San Diego, CA, USA, USA, IEEE, US, Nov. 15, 1999, p. 43-50, XP010370695, ISBN: 0-7803-5904-6.** US 7,454,212 B2 Page 3 Nogueroles, R. et al.: Improved Performance of a Random OFDMA Wong et al. “Multiuser OFDM With Adaptive Subcarrier, Bit, and Mobile Communications System: Vehicular Technology Confer ence, 1998. VTC 98. 48th IEEE Ottawa, Ontario, Canada, May 18-21, 1998, pp. 2502-2506, XP010288120, ISBN: 0-7803-4320-4. tions. IEEE. NeWYork, US, 1999, vol. 17. NR. 10, pp. 1747-1758. Mexican Of?ce Action issued for PNa/2003/005311 dated Mar. 31, ** KinugaWa, Y.et al.: “Frequency and Time Division Multiple Access With Demand-Assignment Using Multicarrier Modulation for Indoor Wireless Communications Systems,” IEICE Transactions on Com munications, Institute of Electronics Information and Comm. Eng. Tokyo, Japan, vol. E77-B, NR. 3, Mar. 1994, pp. 396-402, XP000451014, ISSN: 0916-8516.** Vittoria Mignone et al. “CD3-OFDM: A Novel Demodulation Scheme for Fixed and Mobile Receivers,” IEEE Transactions on Communications, Sep. 1996, vol. 44, No. 9. Power Allocation”, IEEE Journal on Selected Areas in Communica 2006. Ye Li et al.; “Clustered OFDM With Channel Estimation for High Rate Wireless Data”; Mobile Multimedia Communications, 1999. (MoMuC’99) 1999 IEEE International Workshop on Nov. 15-17, 1999; pp. 43-50. Korean of?ce Action issued for 2003 -7007962 dated Apr. 28, 2006. Korean Of?ce Action issued for 2003-7007963 dated Apr. 29, 2006. Of?ce Action issued for Korean Patent Application No. 2003 7007961, dated Sep. 27, 2006. * cited by examiner US. Patent Nov. 18, 2008 Sheet 1 of7 Subcarrier US 7,454,212 B2 Cluster FIG. 1A Cluster A Cluster B f Pilot OFDM Symbols 201 t Occupied Clusters a. Cell A (A) f 201 t b. Cell B (B) f 201 t FIG. 2 0. Cell (3 (C) US. Patent Nov. 18, 2008 Sheet 2 of7 US 7,454,212 B2 Periodically Broadcast Pilot / 101 OFDM Symbols to Subscribers l Subscriber(s) Continuously Monitors Pilot Symbols/Measures SlNR and/0r V102 Other Parameters l Retraining Each Subscriber Selects One or More Clusters for Each Base Station Needed ? ‘ l Base Station Selects One or More _/104 Clusters for Each Subscriber l Base Station Noti?es the Subscriber Regarding Cluster Allocation FIG. 1B ~105 US. Patent Nov. 18, 2008 Sheet 3 of7 US 7,454,212 B2 Channel/Interference s-/ 301 —-> Estimation in Pilot Penods + Traf?c/mterference —-> Analysis in Date ( 303 K 304 _, Cluster Ordering Request Selected _> and Rate ——> Clusters and Coding! —-> Prediction Modulation Rates Periods 302 3 Per-cluster SlNR $01 —~> Estimation in —-—> Pilot Periods 402 Per-cluster f 405 Cluster Ordering! ‘- 406 404 sgllilcgoanngissse?n —> Power Calculation in Pilot Periods I Difference - Request Selected —> Clusters and Coding! —> Modulation Rates Per-cluster ——> Power Calculation in Data Periods 501 \ Cluster |D1 502 \ A 4 503 \ Cluster IDZ SlNRl 504 \ 504 q 504 -\ Cluster IDs SlNR2 Group 3 SlNR3 Group 4 /’i x K Group 2 FIG. 6 \ US. Patent Nov. 18, 2008 Sheet 5 of7 US 7,454,212 B2 1-8: Divelerse Clusters 9-16: Piaijn Clusters f > 123455 8 9 10 12314b|bl8 11 H 12 123-4515 B 13 14 123415167'815 16 a. CellA f > 123455 8 9 10 8123-4511)] 11 H 12 78123415613 14 5181234515 16 b. CellB f > bib/81234 9 10 4516/6123 11 V1 12 341 b 12 13 14 234155! 11 15 16 c.Ce1lC Subcarner1 Subcarrier2 f Time1 Time2 Time3 Time4 I a. Cell A t b. Cell B FIG. 10 US. Patent Nov. 18, 2008 Sheet 6 of7 US 7,454,212 B2 Channel/Interference \/1101 Variation Detection 1102 Any » Signi?cant Variation Detected ? 1104) (1103 Select Diversity Select Coherence Clusters Clusters f > 1234mm?l Vt 10 1234156! 9}? 12 12345.0 9}? 14 1234M)! 9H1 16 a. CellA FIG. 12 US. Patent Nov. 18, 2008 Sheet 7 of7 US 7,454,212 B2 User Data Buffer Information USel’ 1 "" N Multi-user Data —_7__> ,\ 1302 Buffer Admission Control Cluster Allocation and Load Scheduling —-—-——> Controller ‘ Mu|tip|exer f 1303 I I I I I Cluster1~M Multi-cluster Transmission and slNR/Rate Receiving Buffer ~/\ lndrces 6 f 1304 > OFDM Transceiver Control Signal/ Cluster‘Allocation \/ 1305 OFDM Signa| 1312 FIG. 13 US 7,454,212 B2 1 2 OFDMA WITH ADAPTIVE SUBCARRIER-CLUSTER CONFIGURATION AND SELECTIVE LOADING the problem of intercell interference arises. It is clear that the intercell interference in an OFDMA system is also frequency selective and it is advantageous to adaptively allocate the subcarriers so as to mitigate the effect of intercell interfer CROSS REFERENCE TO RELATED APPLICATION ence. One approach to subcarrier allocation for OFDMA is a joint optimiZation operation, not only requiring the activity This is a continuing application of application Ser. No. 09/738,086, entitled “OFDMA WITH ADAPTIVE SUB and channel knowledge of all the subscribers in all the cells, but also requiring frequent rescheduling every time an exist CARRIER-CLUSTER CONFIGURATION AND SELEC ing subscribers is dropped off the network or a new subscrib ers is added onto the network. This is often impractical in real TIVE LOADING,” ?led Dec. 15, 2000, the disclosure of which is hereby incorporated herein by reference thereto. wireless system, mainly due to the bandwidth cost for updat ing the subscriber information and the computation cost for FIELD OF THE INVENTION the joint optimization. The invention relates to the ?eld of wireless communica tions; more particularly, the invention relates to multi-cell, SUMMARY OF THE INVENTION multi-subscriber wireless systems using orthogonal fre quency division multiplexing (OFDM). 20 BACKGROUND OF THE INVENTION orthogonal frequency division multiple access (OFDMA). In Orthogonal frequency division multiplexing (OFDM) is an e?icient modulation scheme for signal transmission over fre quency-selective channels. In OFDM, a wide bandwidth is divided into multiple narrow-band subcarriers, which are 25 arranged to be orthogonal with each other. The signals modu lated on the subcarriers are transmitted in parallel. For more information, see Cimini, Jr., “Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Divi A method and apparatus for subcarrier selection for sys tems is described. In one embodiment, the system employs 30 one embodiment, a method for subcarrier selection comprises a subscriber measuring channel and interference information for subcarriers based on pilot symbols received from a base station, the subscriber selecting a set of candidate subcarriers, providing feedback information on the set of candidate sub carriers to the base station, and receiving an indication of subcarriers of the set of subcarriers selected by the base station for use by the subscriber. sion Multiplexing,” IEEE Trans. Commun., vol. COM-33, no. 7, Jul. 1985, pp. 665-75; Chuang and Sollenberger, BRIEF DESCRIPTION OF THE DRAWINGS “Beyond 3G: Wideband Wireless Data Access Based on OFDM and Dynamic Packet Assignment,” IEEE Communi cations Magazine, Vol. 38, No. 7, pp. 78-87, July 2000. 35 One way to use OFDM to support multiple access for multiple subscribers is through time division multiple access which, however, should not be taken to limit the invention to (TDMA), in which each subscriber uses all the subcarriers within its assigned time slots. Orthogonal frequency division multiple access (OFDMA) is another method for multiple the speci?c embodiments, but are for explanation and under standing only. 40 access, using the basic format of OFDM. In OFDMA, mul tiple subscribers simultaneously use different subcarriers, in a fashion similar to frequency division multiple access (FDMA). For more information, see Sari and Karam, “Orthogonal Frequency-Division Multiple Access and its FIG. 1B is a ?ow diagram of one embodiment of a process FIG. 2 illustrates time and frequency grid of OFDM sym 45 “Improved Performance of a Random OFDMA Mobile Com 50 2502-2506. Multipath causes frequency-selective fading. The channel group-based cluster allocation. 55 provide high channel gains for another subscriber. Therefore, FIG. 9 illustrates different cluster formats for coherence cate the subcarriers to subscribers so that each subscriber clusters and diversity clusters. FIG. 10 illustrates diversity clusters with subcarrier hop 60 ping. FIG. 11 illustrates intelligent switching between diversity clusters and coherence clusters depending on subscribers Within one cell, the subscribers can be coordinated to have interference. However, with aggressive frequency reuse plan, e.g., the same spectrum is used for multiple neighboring cells, FIG. 8 illustrates frequency reuse and interference in a multi-cell, multi-sector network. it is advantageous in an OFDMA system to adaptively allo different subcarriers in OFDMA. The signals for different subscribers canbe made orthogonal and there is little intracell FIG. 4 illustrates one example of FIG. 3. FIG. 5 illustrates one embodiment of a format for arbitrary cluster feedback. FIG. 6 illustrates one embodiment of a partition the clusters into groups. FIG. 7 illustrates one embodiment of a feedback format for gains are different for different subcarriers. Furthermore, the channels are typically uncorrelated for: different subscribers. enjoys a high channel gain. For more information, see Wong et al., “Multiuser OFDM with Adaptive Subcarrier, Bit and Power Allocation,” IEEE J. Select. Areas Commun., Vol. 17(10), pp. 1747-1758, October 1999. bols, pilots and clusters. FIG. 3 illustrates subscriber processing. Telecommunications, Vol. 9(6), pp. 507-516, November/De cember 1998 and Nogueroles, Bossert, Donder, and Zyablov, The subcarriers that are in deep fade for one subscriber may FIG. 1A illustrates subcarriers and clusters. for allocating subcarriers. Application to CATV Networks,” European Transactions on munication System,”, Proceedings of IEEE VTC’98, pp. The present invention will be understood more fully from the detailed description given below and from the accompa nying drawings of various embodiments of the invention, mobility. 65 FIG. 12 illustrates one embodiment of a recon?guration of cluster classi?cation. FIG. 13 illustrates one embodiment of a base station. US 7,454,212 B2 3 4 DETAILED DESCRIPTION OF THE PRESENT INVENTION feedback from the subscribers to the base station, and algo rithms used by the base station for subcarrier selections. In the folloWing description, numerous details are set forth to provide a thorough understanding of the present invention. A distributed, reduced-complexity approach for subcarrier allocation is described. The techniques disclosed herein are It Will be apparent, hoWever, to one skilled in the art, that the described using OFDMA (clusters) as an example. However, present invention may be practiced Without these speci?c they are not limited to OFDMA-based systems. The tech details. In other instances, Well-knoWn structures and devices are shoWn in block diagram form, rather than in detail, in order to avoid obscuring the present invention. niques apply to multi-carrier systems in general, Where, for example, a carrier can be a cluster in OFDMA, a spreading Some portions of the detailed descriptions Which folloW are presented in terms of algorithms and symbolic represen code in CDMA, an antenna beam in SDMA (space-division multiple access), etc. In one embodiment, subcarrier alloca tion is performed in each cell separately. Within each cell, the allocation for individual subscribers (e.g., mobiles) is also tations of operations on data bits Within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their Work to others skilled in the art. An algorithm is here, and generally, con ceived to be a self-consistent sequence of steps leading to a made progressively as each neW subscriber is added to the system as opposed to joint allocation for subscribers Within each cell in Which allocation decisions are made taking into account all subscribers in a cell for each allocation. For doWnlink channels, each subscriber ?rst measures the desired result. The steps are those requiring physical manipu lations of physical quantities. Usually, though not necessarily, channel and interference information for all the subcarriers and then selects multiple subcarriers With good performance (e.g., a high signal-to-interference plus noise ratio (SINR)) 20 these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and feeds back the information on these candidate subcarriers and otherWise manipulated. It has proven convenient at times, to the base station. The feedback may comprise channel and principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, interference information (e.g., signal-to-interference-plus noise-ratio information) on all subcarriers or just a portion of subcarriers. In case of providing information on only a por tion of the subcarriers, a subscriber may provide a list of subcarriers ordered starting With those subcarriers Which the subscriber desires to use, usually because their performance is good or better than that of other subcarriers. 25 It should be borne in mind, hoWever, that all of these and similar terms are to be associated With the appropriate physi cal quantities and are merely convenient labels applied to these quantities. Unless speci?cally stated otherWise as 30 Upon receiving the information from the subscriber, the processes of a computer system, or similar electronic com 35 or hoW long a subscriber has been Waiting to send informa tion. In one embodiment, the subcarrier loading information of neighboring cells can also be exchanged betWeen base stations. The base stations can use this information in subcar rier allocation to reduce inter-cell interference. In one embodiment, the selection by the base station of the channels to allocate, based on the feedback, results in the 40 tem memories or registers or other such information storage, transmission or display devices. The present invention also relates to apparatus for perform constructed for the required purposes, or it may comprise a general purpose computer selectively activated or recon?g ured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium such as, but is not limited to, any type of disk subcarriers that it ?nds favorable to use. For example, if the SINR is less than a certain threshold (e.g., 12 dB), quadrature including ?oppy disks, optical disks, CD-ROMs, and mag netic-optical disks, read-only memories (ROMs), random phase shift keying (QPSK) modulation is used; otherwise, 16 quadrature amplitude modulation (QAM) is used. Then the access memories (RAMs), EPROMS, EEPROMs, magnetic or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a computer sys tem bus. 55 The algorithms and displays presented herein are not inher ently related to any particular computer or other apparatus. Various general purpose systems may be used With programs in accordance With the teachings herein, or it may prove convenient to construct more specialiZed apparatus to per form the required method steps. The required structure for a 60 as the traf?c load information on the uplink subcarriers are variety of these systems Will appear from the description beloW. In addition, the present invention is not described With used for uplink subcarrier allocation. For either direction, the base station makes the ?nal deci reference to any particular programming language. It Will be appreciated that a variety of programming languages may be sion of subcarrier allocation for each subscriber. In the folloWing description, a procedure of selective sub carrier allocation is also disclosed, including methods of channel and interference sensing, methods of information puting device, that manipulates and transforms data repre sented as physical (electronic) quantities Within the computer system’s registers and memories into other data similarly represented as physical quantities Within the computer sys ing the operations herein. This apparatus may be specially selection of coding/modulation rates. Such coding/modula tion rates may be speci?ed by the subscriber When specifying base station informs the subscribers about the subcarrier allo cation and the coding/modulation rates to use. In one embodiment, the feedback information for doWn link subcarrier allocation is transmitted to the base station through the uplink access channel, Which occurs in a short period every transmission time slot, e.g., 400 microseconds in every l0-millisecond time slot. In one embodiment, the access channel occupies the entire frequency bandWidth. Then the base station can collect the uplink SINR of each subcarrier directly from the access channel. The SINR as Well apparent from the folloWing discussion, it is appreciated that throughout the description, discussions utiliZing terms such as “processing” or “computing” or “calculating” or “deter mining” or “displaying” or the like, refer to the action and base station further selects the subcarriers among the candi dates, utiliZing additional information available at the base station, e.g., the tra?ic load information on each subcarrier, amount of tra?ic requests queued at the base station for each frequency band, Whether frequency bands are overused, and/ numbers, or the like. 65 used to implement the teachings of the invention as described herein. A machine-readable medium includes any mechanism for storing or transmitting information in a form readable by a US 7,454,212 B2 5 6 machine (e. g., a computer). For example, a machine readable may be particularly useful in diversity clusters Where the Weighting applied to the subcarriers may be different. medium includes read only memory (“ROM”); random access memory (“RAM”); magnetic disk storage media; opti The feedback of information from each subscriber to the base station contains a SINR value for each cluster and also cal storage media; ?ash memory devices; electrical, optical, acoustical or other form of propagated signals (e.g., carrier indicates the coding/modulation rate that the subscriber Waves, infrared signals, digital signals, etc.); etc. Subcarrier Clustering desires to use. No cluster index is needed to indicate Which SINR value in the feedback corresponds to Which cluster as long as the order of information in the feedback is knoWn to the base station. In an alternative embodiment, the informa tion in the feedback is ordered according to Which clusters have the best performance relative to each other for the sub The techniques described herein are directed to subcarrier allocation for data tra?ic channels. In a cellular system, there are typically other channels, pre-allocated for the exchange of control information and other purposes. These channels often include doWn link and up link control channels, uplink access scriber. In such a case, an index is needed to indicate to Which cluster the accompanying SINR value corresponds. Upon receiving the feedback from a subscriber, the base channels, and time and frequency synchronization channels. FIG. 1A illustrates multiple subcarriers, such as subcarrier 101, and cluster 102. A cluster, such as cluster 102, is de?ned as a logical unit that contains at least one physical subcarrier, station further selects one or more clusters for the subscriber among the candidates (processing block 104). The base sta tion may utiliZe additional information available at the base station, e.g., the traf?c load information on each subcarrier, amount of tra?ic requests queued at the base station for each as shoWn in FIG. 1A. A cluster can contain consecutive or disjoint subcarriers. The mapping betWeen a cluster and its subcarriers can be ?xed or recon?gurable. In the latter case, the base station informs the subscribers When the clusters are frequency band, Whether frequency bands are overused, and hoW long a subscriber has been Waiting to send information. The subcarrier loading information of neighboring cells can also be exchanged betWeen base stations. The base stations rede?ned. In one embodiment, the frequency spectrum includes 512 subcarriers and each cluster includes four con secutive subcarriers, thereby resulting in 128 clusters. An Exemplary Subcarrier/Cluster Allocation Procedure can use this information in subcarrier allocation to reduce 25 FIG. 1B is a How diagram of one embodiment of a process for allocation clusters to subscribers. The process is per formed by processing logic that may comprise hardWare (e. g., dedicated logic, circuitry, etc.), softWare (such as that Which runs on, for example, a general purpose computer system or dedicated machine), or a combination of both. inter-cell interference. After cluster selection, the base station noti?es the sub scriber about the cluster allocation through a doWnlink com mon control channel or through a dedicated doWnlink traf?c 30 Referring to FIG. 1B, each base station periodically broad casts pilot OFDM symbols to every subscriber Within its cell channel if the connection to the subscriber has already been established (processing block 105). In one embodiment, the base station also informs the subscriber about the appropriate modulation/ coding rates. Once the basic communication link is established, each subscriber can continue to send the feedback to the base (or sector) (processing block 101). The pilot symbols, often referred to as a sounding sequence or signal, are knoWn to 35 station using a dedicated traf?c channel (e.g., one or more prede?ned uplink access channels). both the base station and the subscribers. In one embodiment, each pilot symbol covers the entire OFDM frequency band Width. The pilot symbols may be different for different cells (or sectors). The pilot symbols can serve multiple purposes: time and frequency synchroniZation, channel estimation and signal-to-interference/noise (SINR) ratio measurement for In one embodiment, the base station allocates all the clus ters to be used by a subscriber at once. In an alternative embodiment, the base station ?rst allocates multiple clusters, 40 betWeen the base station and the subscriber. The base station then subsequently allocates more clusters, referred to herein as the auxiliary clusters, to the subscriber to increase the cluster allocation. Next, each subscriber continuously monitors the reception of the pilot symbols and measures the SINR and/or other parameters, including inter-cell interference and intra-cell tra?ic, of each cluster (processing block 102). Based on this 45 good performance (e.g., high SINR and loW traf?c loading) auxiliary clusters from the subscribers.Altematively, the base relative to each other and feeds back the information on these 50 55 ters to one subscriber before allocating any clusters to other subscribers. In one embodiment, the base station allocates basic clusters to a neW subscriber and then determines if there are any other subscribers requesting clusters. If not, then the base station allocates the auxiliary clusters to that neW sub scriber. ters they Would prefer to use based on the measured param eters. From time to time, processing logic performs retraining by In one embodiment, each subscriber measures the SIR of each subcarrier cluster and reports these SINR measurements station may assign auxiliary clusters to one or more subscrib ers before allocating basic clusters to other subscribers. For example, a base station may allocate basic and auxiliary clus mance. LikeWise, a cluster utiliZation factor less than 50% may be indicative of good performance. Each subscriber selects the clusters With relatively better performance than others. The selection results in each subscriber selecting clus communication bandWidth. Higher priorities can be given to the assignment of basic clusters and loWer priorities may be given to that of auxiliary clusters. For example, the base station ?rst ensures the assignment of the basic clusters to the subscribers and then tries to satisfy further requests on the information, each subscriber selects one or more clusters With candidate clusters to the base station through prede?ned uplink access channels (processing block 103). For example, SINR values higher than 10 dB may indicate good perfor referred to herein as the basic clusters, to establish a data link 60 repeating the process described above (processing block to their base station through an access channel. The SINR 106). The retraining may be performed periodically. This value may comprise the average of the SINR values of each of the subcarriers in the cluster. Alternatively, the SINR value for the cluster may be the Worst SINR among the SINR values of the subcarriers in the cluster. In still another embodiment, a Weighted averaging of SINR values of the subcarriers in the cluster is used to generate an SINR value for the cluster. This retraining compensates for subscriber movement and any changes in interference. In one embodiment, each subscriber reports to the base station its updated selection of clusters and their associated SINRs. Then the base station further per forms the reselection and informs the subscriber about the neW cluster allocation. Retraining can be initiated by the base 65 US 7,454,212 B2 7 8 station, and in Which case, the base station requests a speci?c subscriber to report its updated cluster selection. Retraining can also be initiated by the subscriber When it observes channel deterioration. and modulation rate that a subscriber desires to use. Note that even for the same subscribers, different clusters can have different modulation/coding rates. Pilot symbols serve an additional purpose in determining interference among the cells. Since the pilots of multiple cells Adaptive Modulation and Coding are broadcast at the same time, they Will interfere With each In one embodiment, different modulation and coding rates other (because they occupy the entire frequency band. This are used to support reliable transmission over channels With collision of pilot symbols may be used to determine the different SINR. Signal spreading over multiple subcarriers amount of interference as a Worst case scenario. Therefore, in may also be used to improve the reliability at very loW SINR. one embodiment, the above SINR estimation using this method is conservative in that the measured interference level is the Worst-case scenario, assuming that all the interference sources are on. Thus, the structure of pilot symbols is such that it occupies the entire frequency band and causes colli An example coding/modulation table is given beloW in Table 1. TABLE 1 Scheme Modulation sions among different cells for use in detecting the Worst case Code Rate 0 1 2 3 QPSK, ‘A; Spreading QPSK, 1A1 Spreading QPSK, 1/2 Spreading QPSK 4 8PSK 2/3 5 6 16QAM 64QAM SINR in packet transmission systems. During data tra?ic periods, the subscribers can determine 1/2 1/2 1/2 1/2 % 5/6 In the example above, 1/8 spreading indicates that one QPSK modulation symbol is repeated over eight subcarriers. the level of interference again. The data tra?ic periods are used to estimate the intra-cell tra?ic as Well as the inter-cell 20 25 The repetition/spreading may also be extended to the time domain. For example, one QPSK symbol can be repeated over four subcarriers of tWo OFDM symbols, resulting also 1/8 spreading. The coding/modulation rate can be adaptively changed 30 according to the channel conditions observed at the receiver after the initial cluster allocation and rate selection. interference level. Speci?cally, the poWer difference during the pilot and tra?ic periods may be used to sense the (intra cell) tra?ic loading and inter-cell interference to select the desirable clusters. The interference level on certain clusters may be loWer, because these clusters may be unused in the neighboring cells. For example, in cell A, With respect to clusterA there is less interference because clusterA is unused in cell B (While it is used in cell C). Similarly, in cell A, cluster B Will expe rience loWer interference from cell B because cluster B is used in cell B but not in cell C. The modulation/coding rate based on this estimation is robust to frequent interference changes resulted from bursty packet transmission. This is because the rate prediction is Pilot Symbols and SINR Measurement In one embodiment, each base station transmits pilot sym 35 bols simultaneously, and each pilot symbol occupies the entire OFDM frequency bandWidth, as shoWn in FIGS. 2A-C. Referring to FIG. 2A-C, pilot symbols 201 are shoWn travers ing the entire OFDM frequency bandWidth for cells A, B and C, respectively. In one embodiment, each of the pilot symbols based on the Worst case situation in Which all interference sources are transmitting. In one embodiment, a subscriber utiliZes the information available from both the pilot symbol periods and the data traf?c periods to analyZe the presence of both the intra-cell traf?c load and inter-cell interference. The goal of the sub 40 scriber is to provide an indication to the base station as to have a length or duration of 128 microseconds With a guard those clusters that the subscriber desires to use. Ideally, the time, the combination of Which is approximately 152 micro seconds. After each pilot period, these are a predetermined number of data periods folloWed by another set of pilot sym result of the selection by the subscriber is clusters With high channel gain, loW interference from other cells, and high availability. The subscriber provides feedback information that includes the results, listing desired clusters in order or not bols. In one embodiment, there are four data periods used to 45 transmit data after each pilot, and each of the data periods is as described herein. 152 microseconds. A subscriber estimates the SINR for each cluster from the pilot symbols. In one embodiment, the subscriber ?rst esti mates the channel response, including the amplitude and FIG. 3 illustrates one embodiment of subscriber process ing. The processing is performed by processing logic that may comprise hardWare (e.g., dedicated logic, circuitry, etc.), 50 softWare (such as that Which runs on, for example, a general phase, as if there is no interference or noise. Once the channel purpose computer system or dedicated machine), or a com is estimated, the subscriber calculates the interference/noise from the received signal. The estimated SINR values may be ordered from largest to smallest SINRs and the clusters With large SINR values are bination of both. Referring to FIG. 3, channel/interference estimation pro selected. In one embodiment, than selected clusters have SINR values that are larger than the minimum SINR Which cessing block 301 performs channel and interference estima tion in pilot periods in response to pilot symbols. Traf?c/ interference analysis processing block 302 performs traf?c and interference analysis in data periods in response to signal still alloWs a reliable (albeit loW-rate) transmission supported by the system. The number of clusters selected may depend information and information from channel/interference esti mation block 301. on the feedback bandWidth and the request transmission rate. In one embodiment, the subscriber alWays tries to send the information about as many clusters as possible from Which the base station chooses. 55 60 Cluster ordering and rate prediction processing block 303 is coupled to outputs of channel/interference estimation pro cussed above. By using an appropriate SINR indexing cessing block 301 and traf?c/ interference analysis processing block 302 to perform cluster ordering and selection along With rate prediction. The output of cluster ordering processing block 303 is input to cluster request processing block 304, Which requests scheme, an SINR index may also indicate a particular coding clusters and modulation/coding rates. Indications of these The estimated SINR values are also used to choose the appropriate coding/modulation rate for each cluster as dis 65 US 7,454,212 B2 10 selected, the subscriber requests the selected clusters and the coding/modulation rates With processing block 406. More speci?cally, in one embodiment, the signal poWer of selections are sent to the base station. In one embodiment, the SINR on each cluster is reported to the base station through an access channel. The information is used for cluster selection to avoid clusters With heavy intra-cell tra?ic loading and/or strong interference from other cells. That is, a neW subscriber may not be allocated use of a particular cluster if heavy 01 each cluster during the pilot periods is compared With that during the tra?ic periods, according to the folloWing: intra-cell traf?c loading already exists With respect to that cluster. Also, clusters may not be allocated if the interference is so strong that the SINR only alloWs for loW-rate transmis PN, With no signal and interference sion or no reliable transmission at all. Pg + PN, With signal only The channel/interference estimation by processing block P0 = . . P, + PN , With interference only 301 is Well-knoWn in the art by monitoring the interference P; + P, + PN, With both signal and interference that is generated due to full-bandWidth pilot symbols being simultaneously broadcast in multiple cells. The interface Pg + P1, With no signal and interference information is forWarded to processing block 302 Which uses P], with signal only the information to solve the folloWing equation: P5, With interference only 0, With both signal and interference Where Sl- represents the signal for subcarrier (freq. band) i, II. is the interference for subcarrier i, nl- is the noise associated With subcarrier i, and yl- is the observation for subcarrier i. In the case of 512 subcarriers, i may range from 0 to 511. The I1 and nl- are not separated and may be considered one quantity. The interference/noise and channel gain H. are not knoW. 20 Where PP is the measured poWer corresponding to each cluster during pilot periods, PD is the measured poWer during the traf?c periods, PS is the signal power, P, is the interference 25 poWer, and PN is the noise poWer. In one embodiment, the subscriber selects clusters With During pilot periods, the signal Sl- representing the pilot sym relatively large PP/ (PP-PD) (e.g., larger than a threshold such bols, and the observation yl. are knoWns, thereby alloWing as 10 dB) and avoids clusters With loW PP/ (PP-PD) (e. g., determination of the channel gain HZ- for the case Where there is no interference or noise. Once this is knoWn, it may be plugged back into the equation to determine the interference/ noise during data periods since Hi, S1- and yl- are all knoWn. The interference information from processing blocks 301 30 loWer than a threshold such as 10 dB) When possible. Alternatively, the difference may be based on the energy difference betWeen observed samples during the pilot period and during the data tra?ic period for each of the subcarriers in a cluster such as the folloWing: and 302 are used by the subscriber to select desirable clusters. In one embodiment, using processing block 303, the sub scriber orders clusters and also predicts the data rate that 35 Thus, the subscriber sums the differences for all subcarriers. Depending on the actual implementation, a subscriber may use the folloWing metric, a combined function of both SINR and PP-PD, to select the clusters: Would be available using such clusters. The predicted data rate information may be obtained from a look up table With precalculated data rate values. Such a look up table may store the pairs of each SINR and its associated desirable transmis sion rate. Based on this information, the subscriber selects clusters that it desires to use based on predetermined perfor 40 Where I is a function of the tWo inputs. One example of I is mance criteria. Using the ordered list of clusters, the sub Weighted averaging (e.g., equal Weights). Alternatively, a scriber requests the desired clusters along With coding and modulation rates knoWn to the subscriber to achieve desired data rates. FIG. 4 is one embodiment of an apparatus for the selection of clusters based on poWer difference. The approach uses subscriber selects a cluster based on its SINR and only uses 45 lar SINR. The difference may be smaller than a threshold (e.g., 1 dB). Both the measurement of SINR and PP—PD canbe averaged information available during both pilot symbol periods and data tra?ic periods to perform energy detection. The process ing of FIG. 4 may be implemented in hardWare, (e.g., dedi cated logic, circuitry, etc.), softWare (such as is run on, for example, a general purpose computer system or dedicated over time to reduce variance and improve accuracy. In one 50 55 cluster in pilot periods, poWer calculation processing block 402 to perform poWer calculations for each cluster in pilot periods, and poWer calculation processing block 403 to per form poWer calculations in data periods for each cluster. Subtractor 404 subtracts the poWer calculations for data peri ods from processing block 403 from those in pilot periods from processing block 402. The output of subtractor 404 is input to poWer difference ordering (and group selection) pro cessing block 405 that performs cluster ordering and selec embodiment, a moving-average time WindoW is used that is long enough to average out the statistical abnormity yet short enough to capture the time-varying nature of channel and interference, e.g., 1 millisecond. machine), or a combination of both. Referring to FIG. 4, a subscriber includes SINR estimation processing block 401 to perform SINR estimation for each the poWer difference PP—PD to distinguish clusters With simi Feedback Format for DoWnlink Cluster Allocation In one embodiment, for the doWnlink, the feedback con tains both the indices of selected clusters and their SINR. An exemplary format for arbitrary cluster feedback is shoWn in 60 FIG. 5. Referring to FIG. 5, the subscriber provides a cluster index (ID) to indicate the cluster and its associated SINR value. For example, in the feedback, the subscriber provides cluster. ID1 (501) and the SINR for the cluster, SINRl (502), cluster ID2 (503) and the SINR for the cluster, SINR2 (504), and cluster ID3 (505), and the SINR for the cluster, SINR3 tion based on SINR and the poWer difference betWeen pilot (506), etc. The SINR for the cluster may be created using an average of the SINRs of the subcarriers. Thus, multiple arbi periods and data periods. Once the clusters have been trary clusters can be selected as the candidates. As discussed 65 US 7,454,212 B2 11 12 above, the selected clusters can also be ordered in the feed back to indicate priority. In one embodiment, the subscriber may form a priority list of clusters and sends back the SINR information in a descending order of priority. Typically, an index to the SINR level, instead of the SINR cluster allocation. Group-based cluster allocation may also be used to reduce inter-cell interference. After receiving the pilot signal from the base station, a subscriber sends back the channel information on one or more SINR indexing to indicate 8 different rates of adaptive cod cluster groups, simultaneously or sequentially. In one embodiment, only the information on some of the groups is sent back to the base station. Many criteria can be used to choose and order the groups, based on the channel informa ing/modulation. tion, the inter-cell interference levels, and the intra-cell tra?ic itself is suf?cient to indicate the appropriate coding/modula tion for the cluster. For example, a 3-bit ?eld can be used for load on each cluster. In one embodiment, a subscriber ?rst selects the group With An Exemplary Base Station The base station assigns desirable clusters to the subscriber making the request. In one embodiment, the availability of the the best overall performance and then feedbacks the SINR information for the clusters in that group. The subscriber may cluster for allocation to a subscriber depends on the total tra?ic load on the cluster. Therefore, the base station selects order the groups based on their number of clusters for Which the SINR is higher than a prede?ned threshold. By transmit ting the SINR of all the clusters in the group sequentially, only the group index instead of all the cluster indices, needs to be transmitted. Thus, the feedback for each group generally the clusters not only With high SINR, but also With loW tra?ic load. FIG. 13 is a block diagram of one embodiment of a base station. Referring to FIG. 13, cluster allocation and load scheduling controller 1301 (cluster allocator) collects all the necessary information, including the doWnlink/uplink SINR of clusters speci?ed for each subscriber (e.g., via SINR/rate indices signals 1313 received from OFDM transceiver 1305) 20 and user data, queue fullness/traf?c load (e.g., via user data buffer information 1311 from multi-user data buffer 1302). Using this information, controller 1301 makes the decision on cluster allocation and load scheduling for each user, and stores the decision information in a memory (not shoWn). Controller 1301 informs the subscribers about the decisions 25 contains tWo types of information: the group index and the SINR value of each cluster Within the group. FIG. 7 illustrates an exemplary format for indicating a group based cluster allocation. Referring to FIG. 7, a group ID, ID1, is folloWed by the SINR values for each of the clusters in the group. This can signi?cantly reduce the feedback overhead. Upon receiving the feedback information from the sub scriber, the cluster allocator at the base station selects mul tiple clusters from one or more groups, if available, and then The packet data of User 1~N are stored in the user data assigns the clusters to the subscriber. This selection may be performed by an allocation in a media access control portion of the base station. Furthermore, in a multi-cell environment, groups can have different priorities associated With different cells. In one embodiment, the subscriber’s selection of a group is biased by the group priority, Which means that certain subscribers have higher priorities on the usage of some groups than the other subscribers. In one embodiment, there is no ?xed association betWeen buffers 1302. For doWnlink, With the control of controller 1301, multiplexer 1303 loads the user data to cluster data one subscriber and one cluster group; hoWever, in an altema tive embodiment there may be such a ?xed association. In an through control signal channels (e.g., control signal/cluster 30 allocation 1312 via OFDM transceiver 1305). Controller 1301 updates the decisions during retraining. In one embodiment, controller 1301 also performs admis sion control to user access since it knoWs the tra?ic load of the system. This may be performed by controlling user data buff ers 1302 using admission control signals 1310. buffers (for Cluster 1~M) Waiting to be transmitted. For the uplink, multiplexer 1303 sends the data in the cluster buffers 35 40 scriber and one or more cluster groups, the group index in the feedback information can be omitted, because this informa tion is knoWn to both subscriber and base station by default. to the corresponding user buffers. Cluster buffer 1304 stores the signal to be transmitted through OFDM transceiver 1305 (for doWnlink) and the signal received from transceiver 1305. In one embodiment, each user might occupy multiple clusters and each cluster might be shared by multiple users (in a 45 cluster, e.g., the pilot signal shoWs Which clusters have Group-Based Cluster Allocation clusters that are in each group as a result of the partitioning. In one embodiment, the clusters Within each group are spaced far apart over the entire bandWidth. In one embodiment, the clusters Within each group are spaced apart farther than the channel coherence bandWidth, i.e. the bandWidth Within Which the channel response remains roughly the same. A typical value of coherence bandWidth is 100 kHZ for many 50 ters are available for neW allocations. For example, the base station can transmit a pilot sequence 1111 1111 on the sub carriers of a cluster to indicate that the cluster is available, and 1111-1 -1 -1-1 to indicate the cluster is not available. At the receiver, the subscriber ?rst distinguishes the tWo sequences using the signal processing methods Which are Well knoWn in the art, e.g., the correlation methods, and then estimates the 55 channel and interference level. With the combination of this information and the channel characteristics obtained by the subscriber, the subscriber can prioritize the groups to achieve both high SINR and good load balancing. 60 cellular systems. This improves frequency diversity Within each group and increases the probability that at least some of the clusters Within a group can provide high SINR. The clus ters may be allocated in groups. Goals of group-based cluster allocation include reducing the data bits for cluster indexing thereby reducing the bandWidth requirements of the feedback channel (information) and control channel (information) for In another embodiment, the pilot signal sent from the base station to the subscriber also indicates the availability of each already been allocated for other subscribers and Which clus time-division-multiplexing fashion). In another embodiment, for the doWnlink, the clusters are partitioned into groups. Each group can include multiple clusters. FIG. 6 illustrates an exemplary partitioning. Refer ring to FIG. 6, groups 1-4 are shoWn With arroWs pointing to implementation having a ?xed association betWeen a sub In one embodiment, the subscriber protects the feedback information by using error correcting codes. In one embodi ment, the SINR information in the feedback is ?rst com pressed using source coding techniques, e.g., differential encoding, and then encoded by the channel codes. 65 FIG. 8 shoWs one embodiment of a frequency reuse pattern for an exemplary cellular set up. Each cell has hexagonal structure With six sectors using directional antennas at the US 7,454,212 B2 14 13 base stations. Between the cells, the frequency reuse factor is one. Within each cell, the frequency reuse factor is 2 Where the sectors use tWo frequencies alternatively. As shoWn in FIG. 8, each shaded sector uses half of the available OFDMA TABLE 3 Cluster usage for the doWnlink of the shaded sectors With less than 2/3 ofthe full load. clusters and each unshaded sector uses the other half of the clusters. Without loss of generality, the clusters used by the Cluster Usage Cell A Cell B Cell C shaded sectors are referred to herein as odd clusters and those used by the unshaded sectors are referred to herein as even 1 2 Group 1 Group 2 Group 3 Group 1 Group 2 Group 3 3 clusters. Consider the doWnlink signaling With omni-directional Table 4 shoWs the priority orders for the unshaded sectors, antennas at the subscribers. From FIG. 8, it is clear that for the doWnlink in the shaded sectors, Cell A interferes With Cell B, Which in turn interferes With Cell C, Which in turn interferes With Cell A, namely, A—>B—>C—>A. For the unshaded sec tors Cell A interferes With Cell C, Which in turn interferes With Which are different from those for the shaded sectors, since the interfering relationship is reversed. TABLE 4 Cell B, Which in turn interferes With Cell A, namely, A—>C— Priority ordering for the doWnlink of the unshaded sectors. >B—>A. Priority Ordering Sector A1 receives interference from Sector C1, but its transmission interferes With Sector B1. Namely, its interfer Cell A Cell B Cell C 1 2 3 Group 1 Group 2 Group 3 Group 2 Group 3 Group 1 Group 3 Group 1 Group 2 20 ence source and the victims With Which it interferes are not the same. This might cause a stability problem in a distributed cluster-allocation system using interference avoidance: if a frequency cluster is assigned in Sector B1 but not in Sector C1, the cluster may be assigned inA1 because it may be seen 25 Intelligent SWitching betWeen Coherence and Diversity Clus ters as clean inA1 . HoWever, the assignment of this clusterA1 can In one embodiment, there are tWo categories of clusters: cause interference problem to the existing assignment in B1. coherence clusters, containing multiple subcarriers close to each other and diversity clusters, containing multiple subcar In one embodiment, different cluster groups are assigned different priorities for use in different cells to alleviate the aforementioned problem When the tra?ic load is progres sively added to a sector. The priority orders are jointly designed such that a cluster can be selectively assigned to avoid interference from its interference source, While reduc 30 riers With at least some of the subcarriers spread far apart over the spectrum. The closeness of the multiple subcarriers in coherence clusters is preferably Within the channel coherence 35 ing, and potentially minimizing, the probability of causing interference problem to existing assignments in other cells. Using the aforementioned example, the odd clusters (used by the shaded sectors) are partitioned into 3 groups: Group 1, bandWidth, i.e. the bandWidth Within Which the channel response remains roughly the same, Which is typically Within 100 kHZ for many cellular systems. On the other hand, the spread of subcarriers in diversity clusters is preferably larger 40 2, 3. The priority orders are listed in Table 2. than the channel coherence bandWidth, typically Within 100 kHZ for many cellular systems. Of course, the larger the spread, the better the diversity. Therefore, a general goal in such cases is to maximiZe the spread. FIG. 9 illustrates exemplary cluster formats for coherence clusters and diversity clusters for CellsA-C. Referring to FIG. TABLE 2 45 9, for cells A-C, the labeling of frequencies (subcarriers) indicates Whether the frequencies are part of coherence or Priority ordering for the doWnlink of the shaded sectors. diversity clusters. For example, those frequencies labeled 1-8 Priority Ordering Cell A Cell B 1 Group 1 Group 3 Group 2 2 Group 2 Group 1 Group 3 3 Group 3 Group 2 are diversity clusters and those labeled 9-16 are coherence clusters. For example, all frequencies labeled 1 in a cell are Cell C Group 1 50 55 part of one diversity cluster; all frequencies labeled 2 in a cell are part of another diversity cluster;, etc., While the group of frequencies labeled 9 are one coherence cluster, the group of frequencies labeled 10 are another coherence cluster, etc. The diversity clusters can be con?gured differently for different cells to reduce the effect of inter-cell interference through interference averaging. Consider Sector A1. First, the clusters in Group 1 are selectively assigned. If there are still more subscribers FIG. 9 shoWs example cluster con?gurations for three neighboring cells. The interference from a particular cluster demanding clusters, the clusters in Group 2 are selectively assigned to subscribers, depending on the measured SINR (avoiding the clusters receiving strong interference from Sec tor C1). Note that the neWly assigned clusters from Group 2 to 60 Sector A1 shall not cause interference problem in Sector B1, unless the load in Sector B1 is so heavy that the clusters in both Group 3 and 1 are used up and the clusters in Group 2 are also used. Table 3 shoWs the cluster usage When less than 2/3 of all the available clusters are used in SectorA1, B 1, and C1. 65 in one cell are distributed to many clusters in other cells, e. g., the interference from Cluster 1 in Cell A are distributed to Cluster 1, 8, 7, 6 in Cell B. This signi?cantly reduces the interference poWer to any particular cluster in Cell B. Like Wise, the interference to any particular cluster in one cell comes from many different clusters in other cells. Since not all cluster are strong interferers, diversity clusters, With chan nel coding across its subcarriers, provide interference diver sity gain. Therefore, it is advantageous to assign diversity US 7,454,212 B2 15 16 clusters to subscribers that are close (e.g., Within the coherent bandwidth) to the cell boundaries and are more subject to inter-cell interference. station. The channel/interference variation detector measures the channel (SINR) variation from time to time for each cluster. For example, in one embodiment, the channel/inter ference detector measures the poWer difference betWeen pilot Since the subcarriers in a coherence cluster are consecutive or close (e.g., Within the coherent bandWidth) to each other, they are likely Within the coherent bandWidth of the channel fading. Therefore, the channel gain of a coherence cluster can vary signi?cantly and cluster selection can greatly improve the performance. On the other hand, the average channel gain of a diversity cluster has less of a degree of variation due to the symbols for each cluster and averages the difference over a moving WindoW (e.g., 4 time slots). A large difference indi cates that channel/ interference changes frequently and sub carrier allocation may be not reliable. In such a case, diversity clusters are more desirable for the subscriber. FIG. 11 is a How diagram of one embodiment of a process inherent frequency diversity among the multiple subcarriers for intelligent selection betWeen diversity clusters and coher spread over the spectrum. With channel coding across the subcarriers Within the cluster, diversity clusters are more robust to cluster mis-selection (by the nature of diversi?ca ence clusters depending on subscribers mobility. The process tion itself), While yielding possibly less gain from cluster Which runs on, for example, a general purpose computer selection. Channel coding across the subcarriers means that system or dedicated machine), or a combination of both. each codeWord contains bits transmitted from multiple sub carriers, and more speci?cally, the difference bits betWeen codeWords (error vector) are distributed among multiple sub carriers. More frequency diversity can be obtained through subcar Referring to FIG. 11, processing logic in the base station performs channel/ interference variation detection (process ing block 1101). Processing logic then tests Whether the is performed by processing logic that may comprise hardWare (e.g., circuitry, dedicated logic, etc.), softWare (such as that 20 cate that the user is mobile or in a ?xed position close to the edge of the cell (processing block 1102). If the user is not mobile or is not in a ?xed position close to the edge of the cell, processing transitions to processing block 1103 Where pro rier hopping over time in Which a subscriber occupies a set of subcarriers at one time slot and another different set of sub carriers at a different time slot. One coding unit (frame) contains multiple such time slots and the transmitted bits are 25 encoded across the entire frame. FIG. 10 illustrates diversity cluster With subcarrier hop ping. Referring to FIG. 10, there are four diversity clusters in each of cells A and B shoWn, With each subcarrier in indi vidual diversity clusters having the same label (1, 2, 3, or 4). There are four separate time slots shoWn and during each of the time slots, the subcarriers for each of the diversity clusters change. For example, in cell A, subcarrier 1 is part of diversity cluster 1 during time slot 1, is part of diversity cluster 2 during time slot 2, is part of diversity cluster 3 during time slot 3, and is part of diversity cluster 4 during time slot 4. Thus, more interference diversity can be obtained through subcarrier hop 30 during retraining. The ratio allocation of the numbers of coherence and diver sity clusters in a cell depends on the ratio of the population of mobile and ?xed subscribers. When the population changes as the system evolves, the allocation of coherence and diver 35 sity clusters can be recon?gured to accommodate the neW system needs. FIG. 12 illustrates a recon?guration of cluster classi?cation Which can support more mobile subscribers than that in FIG. 9. Whereas many alterations and modi?cations of the present using different hopping patterns for different cells, as shoWn 40 invention Will no doubt become apparent to a person of ordi nary skill in the art after having read the foregoing descrip tion, it is to be understood that any particular embodiment order to achieve better interference averaging through coding. For static subscribers, such as in ?xed Wireless access, the channels change very little over time. Selective cluster allo cessing logic in the base station selects coherence clusters; otherwise, processing transitions to processing block 1104 in Which processing logic in the base station selects diversity clusters. The selection can be updated and intelligently sWitched ping overtime, With further interference diversity achieved by in FIG. 10. The manner in Which the subscriber changes the subcarri ers (hopping sequences) can be different for different cells in results of the channel/interference variation detection indi shoWn and described by Way of illustration is in no Way intended to be considered limiting. Therefore, references to 45 details of various embodiments are not intended to limit the cation using the coherence clusters achieve good perfor scope of the claims Which in themselves recite only those mance. On the other hand, for mobile subscribers, the channel time variance (the variance due to changes in the channel over time) can be very large. A high-gain cluster at one time can be in deep fade at another. Therefore, cluster allocation needs to be updated at a rapid rate, causing signi?cant control over head. In this case, diversity clusters can be used to provide extra robustness and to alleviate the overhead of frequent cluster reallocation. In one embodiment, cluster allocation is features regarded as essential to the invention. We claim: 1. A method for subcarrier selection for a system employ performed faster than the channel changing rate, Which is often measured by the channel Doppler rate (in HZ), i.e. hoW many cycles the channel changes per second Where the chan 50 55 nel is completely different after one cycle. Note that selective cluster allocation can be performed on both coherence and diversity clusters. 60 In one embodiment, for cells containing mixed mobile and ?xed subscribers, a channel/interference variation detector can be implemented at either the subscriber or the base sta tion, or both. Using the detection results, the subscriber and the base station intelligently selects diversity clusters to mobile subscribers or ?xed subscribers at cell boundaries, and coherence clusters to ?xed subscribers close to the base ing orthogonal frequency division multiple access (OFDMA) comprising: 65 a subscriber unit measuring channel and interference infor mation for a plurality of subcarriers based on pilot sym bols received from a base station; the subscriber unit selecting a set of candidate subcarriers; the subscriber unit providing feedback information on the set of candidate subcarriers to the base station; the subscriber unit receiving an indication of subcarriers of the set of subcarriers selected by the base station for use by the subscriber unit; and the subscriber unit submitting updated feedback informa tion, after being allocated the set of subcarriers to be allocated an updated set of subcarriers, and thereafter the subscriber unit receiving another indication of the updated set of subcarriers. 2. The method de?ned in claim 1 further comprising the subscriber unit sending the indication to the base station. US 7,454,212 B2 17 18 3. The method de?ned in claim 2 further comprising send ing an indication of the set of subcarriers selected by the base station for use by the subscriber unit. 4. The method de?ned in claim 3 further comprising the base station selecting subcarriers for the subscriber unit based selected by the ?rst base station for use by the at least one subscriber unit, and Wherein the subscriber unit submits updated feedback information after being allocated the 5. The method de?ned in claim 1 further comprising the set of subscriber units to receive an updated set of sub carriers and thereafter receives another indication of the updated set of subcarriers. 19. The apparatus de?ned in claim 18 Wherein each of the subscriber unit using information from pilot symbol periods plurality of subscriber units continuously monitors reception and data periods to measure channel and interference infor mation. of the pilot symbols knoWn to the base station and the plural ity of subscriber units and measures signal -plus-interference to-noise ratio (SINR) of each cluster of subcarriers. on inter-cell interference avoidance. 6. The method de?ned in claim 1 Wherein the pilot symbols occupy an entire OFDM frequency bandWidth. 7. The method de?ned in claim 6 Wherein at least one other pilot symbol from a different cell transmitted at the same time as the pilot symbols received from the base station collide With each other. 8. The method de?ned in claim 1 further comprising the base station selecting the subcarriers from the set of candidate subcarriers based on additional information available to the base station. 9. The method de?ned in claim 8 Wherein the additional information comprises tra?ic load information on each clus ter of subcarriers. 10. The method de?ned in claim 9 Wherein the tra?ic load information is provided by a data buffer in the base station. 11. The method de?ned in claim 1 Wherein the indication of subcarriers is received via a doWnlink control channel. 12. The method de?ned in claim 1 Wherein the plurality of subcarriers comprises all subcarriers allocable by a base sta tion. 13. The method de?ned in claim 1 Wherein providing feed 20. The apparatus de?ned in claim 19 Wherein each of the plurality of subscriber units measures inter-cell interference, Wherein the at least one subscriber unit selects candidate subcarriers based on the inter-cell interference. 21. The apparatus de?ned in claim 20 Wherein the base station selects subcarriers for the one subscriber unit based on 20 25 inter-cell interference avoidance. 22. The apparatus de?ned in claim 18 Wherein the at least one subscriber unit uses information from pilot symbol peri ods and data periods to measure channel and interference information. 23. The apparatus de?ned in claim 18 Wherein the base station selects the subcarriers from the set of candidate sub carriers based on additional information available to the base 30 station. 24. The apparatus de?ned in claim 23 Wherein the addi tional information comprises traf?c load information on each cluster of subcarriers. 25. The apparatus de?ned in claim 24 Wherein the traf?c back information comprises arbitrarily ordering the set of load information is provided by a data buffer in the base candidate subcarriers as clusters of subcarriers. station. 26. The apparatus de?ned in claim 18 Wherein the indica tion of subcarriers is received via a doWnlink control channel betWeen the base station and the at least one subscriber unit. 27. The apparatus de?ned in claim 18 Wherein the plurality of subcarriers comprises all subcarriers allocable by a base station. 28. The apparatus de?ned in claim 18 Wherein the plurality of subscriber units provide feedback information that com prises an arbitrarily ordered set of candidate subcarriers as clusters of subcarriers. 29. The apparatus de?ned in claim 18 Wherein providing 14. The method de?ned in claim 13 Wherein arbitrarily order candidate clusters comprise clusters in an order With most desirable candidate clusters being listed ?rst. 15. The method de?ned in claim 1 Wherein providing feed 35 back information comprises sequentially ordering candidate clusters. 16. The method de?ned in claim 1 further comprising: the base station allocating a ?rst portion of the subcarriers to establish a data link betWeen the base station and the 40 subscriber unit; and then the base station allocating a second portion of the subcar riers to the subscriber unit to increase communication bandWidth. 17. The method de?ned in claim 16 Wherein the base sta 45 feedback information comprises sequentially ordering candi tion allocates the second portion after allocating each sub scriber unit in the cell subcarriers to establish a data link betWeen the base station and said each subscriber unit. 50 18. An apparatus comprising: a plurality of subscriber units in a ?rst cell operable to generate feedback information indicating clusters of subcarriers desired for use by the plurality of subscriber units; and station allocates the second portion after allocating each sub 55 a ?rst base station in the ?rst cell, the ?rst base station operable to allocate OFDMA subcarriers in clusters to scriber unit in the cell subcarriers to establish a data link betWeen the base station and said each subscriber unit. 32. A method comprising: the plurality of subscriber units; each of said plurality of subscriber units to measure chan nel and interference information for the plurality of sub carriers based on pilot symbols received from the ?rst base station and at least one of the plurality of subscriber date clusters. 30. The apparatus de?ned in claim 18 Wherein the base station allocates a ?rst portion of the subcarriers to establish a data link betWeen the base station and the subscriber unit; and then allocates a second portion of the subcarriers to the subscriber unit to increase communication bandWidth. 31. The apparatus de?ned in claim 30 Wherein the base 60 a base station allocating a ?rst portion of a plurality of subcarriers to establish a data link betWeen the base station and a subscriber unit; and the base station allocating a second portion of saidplurality units to select a set of candidate subcarriers from the of subcarriers to the subscriber unit to increase commu plurality of subcarriers, and said at least one subscriber nication bandWidth, Wherein the base station allocates the second portion after allocating each subscriber unit unit to provide feedback information on the set of can didate subcarriers to the base station and to receive an indication of subcarriers from the set of subcarriers 65 in the cell subcarriers to establish a data link betWeen the base station and said each subscriber unit. US 7,454,212 B2 19 20 33. A base station comprising: means for allocating a ?rst portion of a plurality of subcar- cation bandwidth, wherein the base station allocates the second portion after allocating each subscriber unit in riers to establish a data link betWeen the base station and a subscriber unit; and means for allocating a second portion of said plurality of 5 subcarriers to the subscriber unit to increase communi- the cell subcarriers to establish a data link betWeen the base station and said each subscriber unit. *

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