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Suboptimal resource allocation with MMSE detector for grouped MC-CDMA systems

Suboptimal resource allocation with MMSE detector for grouped MC-CDMA systems
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摘要 This article puts forward two novel user-grouping algorithms for grouped multi-carrier (MC)-code division multiple access (CDMA) systems. As is well known, the adaptive assignment for user-grouping plays an important role for link quality of multi-access transmissions. In the study, the capacity-maximizing problem of user-grouping is formulated. By using the Kuhn-Tucker condition, the optimal criterion is deduced and found to have a similar form with signal to noise plus interference (SINR). However SINR includes the signal power that can only be determined after user-grouping. Therefore the optimal criterion will lead to an impractical application. To deal with it, the user's equivalent SINR for minimum mean square error (MMSE) detector is proposed and served as a suboptimal assignment criterion, based on which two kinds of user-grouping algorithms are proposed. In the algorithms, only partial channel information is needed at the base station, which saves a large part of the bandwidth occupied by feedback information. Computer simulations have evaluated an excellent performance of the proposed algorithms at both link quality and data rate. Meanwhile, the proposed algorithms have lower implementation complexity for practical reality. This article puts forward two novel user-grouping algorithms for grouped multi-carrier (MC)-code division multiple access (CDMA) systems. As is well known, the adaptive assignment for user-grouping plays an important role for link quality of multi-access transmissions. In the study, the capacity-maximizing problem of user-grouping is formulated. By using the Kuhn-Tucker condition, the optimal criterion is deduced and found to have a similar form with signal to noise plus interference (SINR). However SINR includes the signal power that can only be determined after user-grouping. Therefore the optimal criterion will lead to an impractical application. To deal with it, the user's equivalent SINR for minimum mean square error (MMSE) detector is proposed and served as a suboptimal assignment criterion, based on which two kinds of user-grouping algorithms are proposed. In the algorithms, only partial channel information is needed at the base station, which saves a large part of the bandwidth occupied by feedback information. Computer simulations have evaluated an excellent performance of the proposed algorithms at both link quality and data rate. Meanwhile, the proposed algorithms have lower implementation complexity for practical reality.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2008年第3期30-36,共7页 中国邮电高校学报(英文版)
基金 the DoCoMo Beijing Labs Co. Ltd., Program for New Century Excellent Talents in Beijing University of Posts and Telecommunications (04-0112)
关键词 MC-CDMA system resource allocation user-grouping MMSE detection MC-CDMA system, resource allocation, user-grouping, MMSE detection
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  • 1满成圆,刘雁,周文安,宋俊德.基于博弈论的宽带无线系统功率控制算法研究[J].北京邮电大学学报,2005,28(5):121-124. 被引量:5
  • 2Palomar D,Cioffi J,Lagunas M.Joint TX-RX beamforming design for multicarrier MIMO channels:a unified framework for convex optimization.IEEE Transactions on Signal Processisng,2003,51(9):2381-2401
  • 3Tenenbaum A J,Adve R S.Joint multiuser transmit-receive optimization using linear processing.Proceedings of IEEE International Conference on Communications:Vol 1,Jun 20-24,2004,Paris,France.Piscataway,NJ,USA:IEEE,2004:588-592
  • 4Spencer Q,Swindlehurst A,Haardt M.Zero-forcing methods for downlink spatial multiplexing in multiuser mimo channels.IEEE Transactions on Signal Processisng,2004,52(2):461-471
  • 5Choi L,Murch R.A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach.IEEE Transactions on Wireless Communications,2004,3(1):20-24
  • 6Bourdoux A,Khaled N.Joint TX-RX optimisation for MIMO-SDMA based on a null-space constraint.Proceedings of 58th IEEE Vehicular Technology Conference (VTC'2002-Fall):Vol 1,Sep 24-28,2002,Vancouver,Canada.Piscataway,NJ,USA:IEEE,2002:171-174
  • 7Zhang Xian-da,Matrix analysis applications.Beijing:Tsinghua University Press,2004 (in Chinese)

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