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一种低复杂度基于公平性的MIMO-OFDMA资源分配方案

杜娜 顾品标 闵锐 曹宁

杜娜, 顾品标, 闵锐, 曹宁. 一种低复杂度基于公平性的MIMO-OFDMA资源分配方案[J]. 电子与信息学报, 2010, 32(4): 770-774. doi: 10.3724/SP.J.1146.2008.00728
引用本文: 杜娜, 顾品标, 闵锐, 曹宁. 一种低复杂度基于公平性的MIMO-OFDMA资源分配方案[J]. 电子与信息学报, 2010, 32(4): 770-774. doi: 10.3724/SP.J.1146.2008.00728
Du Na, Gu Pin-biao, Min Rui, Cao Ning. A Low Complexity Resource Allocation Scheme with Proportional Fairness for MIMO-OFDMA System[J]. Journal of Electronics & Information Technology, 2010, 32(4): 770-774. doi: 10.3724/SP.J.1146.2008.00728
Citation: Du Na, Gu Pin-biao, Min Rui, Cao Ning. A Low Complexity Resource Allocation Scheme with Proportional Fairness for MIMO-OFDMA System[J]. Journal of Electronics & Information Technology, 2010, 32(4): 770-774. doi: 10.3724/SP.J.1146.2008.00728

一种低复杂度基于公平性的MIMO-OFDMA资源分配方案

doi: 10.3724/SP.J.1146.2008.00728

A Low Complexity Resource Allocation Scheme with Proportional Fairness for MIMO-OFDMA System

  • 摘要: 该文针对MIMO-OFDMA下行链路系统,考虑在总功率和BER 以及用户数据速率成比例的约束下,以获取整个系统吞吐量极大化为准则,提出一种基于成比例公平性约束的资源分配方案。新的方案基于MIMO信道状态信息,利用特征子信道来确定子载波和功率分配,充分利用了空间域,频域以及多用户分集提高系统的频谱效率。在子载波分配时,松弛成比例约束条件,使用户数据速率近似地成比例于每个用户分配的子载波数,推导出一种线性的不需要迭代的低复杂度的功率分配方案。仿真和分析表明,整个方案在保证系统吞吐量的前提下,取得了用户间良好的速率公平性,同时又具有较低的计算复杂度。
  • Wong K, Cheng R, and Letaief K, et al.. Adaptive antennasat the mobile and base stations in an OFDM/TDMAsystem[J].IEEE Transactions on Communications.2001,49(1):195-206[2]Stuber G L, Barry J R, and Mclaughlin S W, et al..Broadband MIMO-OFDM wireless communications[J].Proceedings of the IEEE.2004, 92(2):271-294[3]Hui J and Zhou Y. Enchanced rate adaptive resourceallocation scheme in downlink OFDMA system[C]. IEEEVTC2006-Spring, Melbourne, Australia, 2006, 5: 2464-2468.[4]Pan C K, Cai Y M, and Xu Y Y. Adaptive subcarrier andpower allocation for multiuser MIMO-OFDM systems[C].ICC2005, Seoul, 2005, 4: 2631-2635.[5]Zhang Y J and Letaief K B. An efficient resource-allocationscheme for spatial multiuser access in MIMO/OFDMsystems[J].IEEE Transactions on Communications.2005,53(1):107-116[6]Shen Z, Andrews J G, and Evans B L. Optimal powerallocation in multiuser OFDM systems[C]. IEEE Globalcommunications conference, San Francisco, 2003, 1: 337-341.[7]Brah F.[J].Louveaux J, and Vandendorpe L. Proportional fairpower allocation for OFDM-CDM systems infrequency-selective fading channel[C]. IEEE SPAWC06,Cannes.2006,:-[8]Sann M M and Iwao S. Resource allocation scheme in MIMOOFDMAsystem for users different data throughputrequirements[C]. IEEE WCNC07, Hong Kong, 2007:1706-1710.[9]Wong C Y, Cheng R S, and Lataief K B, et al.. MultiuserOFDM system with adaptive subcarrier, bit, and powerallocation[J].IEEE Journal on Selected AreasCommunications.1999, 17(10):1747-1758[10]Jang J and Lee K B. Transmit power adaptation formultiuser OFDM systems[J].IEEE Journal on Selected AreasCommunication.2003, 21(2):171-178[11]Yin H and Liu H. An efficient multiuser loading algorithm forOFDM-based broadband wireless systems[C]. IEEE GlobalTelecommunications Conference, San Francisco, 2000, 1:103-107.[12]Rhee W and Cioffi J M. Increase in capacity of multiuserOFDM system using dynamic subchannel allocation[C].IEEE Vehicular Technology Conference, Tokyo, 2000, 2:1085-1089.[13]Shen Z, Andrewss J G, and Evans B L. Adaptive resourceallocation in multiuser OFDM systems with proportional rateconstraints[J]. IEEE Transactions on WirelessCommunications, 2005, 4(6): 2726-2737.[14]Xu J, Kim J, and Paik W, et al.. Adaptive resource allocationalgorithm with fairness for MIMO-OFDM system[C]. IEEEVTC2006-Spring, Melbourne, 2006, 4: 1585-1589.[15]Seong T C and Goldsmith A J. Degrees of freedom inadaptive modulation: A unified wiew[J].IEEE Transactionson Communications.2001, 49(9):1561-1571
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出版历程
  • 收稿日期:  2008-06-03
  • 修回日期:  2010-01-18
  • 刊出日期:  2010-04-19

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