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基于应用时间窗多用户MIMO-OFDM系统中的比例公平算法

徐雷 徐大专 张小飞

徐雷, 徐大专, 张小飞. 基于应用时间窗多用户MIMO-OFDM系统中的比例公平算法[J]. 电子与信息学报, 2009, 31(10): 2359-2363. doi: 10.3724/SP.J.1146.2008.01264
引用本文: 徐雷, 徐大专, 张小飞. 基于应用时间窗多用户MIMO-OFDM系统中的比例公平算法[J]. 电子与信息学报, 2009, 31(10): 2359-2363. doi: 10.3724/SP.J.1146.2008.01264
Xu Lei, Xu Da-zhuan, Zhang Xiao-fei. Proportional Fairness Algorithm for Multiuser MIMO-OFDM Systems Based on the Application Time Window[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2359-2363. doi: 10.3724/SP.J.1146.2008.01264
Citation: Xu Lei, Xu Da-zhuan, Zhang Xiao-fei. Proportional Fairness Algorithm for Multiuser MIMO-OFDM Systems Based on the Application Time Window[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2359-2363. doi: 10.3724/SP.J.1146.2008.01264

基于应用时间窗多用户MIMO-OFDM系统中的比例公平算法

doi: 10.3724/SP.J.1146.2008.01264
基金项目: 

江苏省自然科学基金(BK2007192)和国家自然科学基金(60801052)资助课题

Proportional Fairness Algorithm for Multiuser MIMO-OFDM Systems Based on the Application Time Window

  • 摘要: 该文针对基于延时信道状态信息的多用户MIMO-OFDM系统,在用户比例速率要求和功率限制的情况下,以最大化时间窗内系统吞吐量为目标,提出了一种基于应用时间窗比例公平算法。该算法首先设计各子载波上满足用户误比特率要求的星座距离,然后把系统中每个用户按照其比例映射为相应数目的虚拟用户,最后根据影子价格把子载波最优地分配给虚拟用户。仿真结果表明,该算法在保证用户公平性的基础上,有效地提高了系统吞吐量。
  • Yang H W. A road on future broadband wireless access:MIMO-OFDM-BASED air interface[J]. IEEE CommunicationsMagazine, 2005, 43(1): 53-60.[2]Li L, Pal M, and Yang Y R. Proportional fairness inmulti-rate wireless LANs[C]. IEEE INFOCOM 2008,Phoenix, AZ, USA, Apr. 13-18, 2008: 1004-1012.Fen H, James S, and Ho P H, et al.. Performance analysis ofweighted proportional fairness scheduling in IEEE 802.16networks[C]. ICC 2008, Beijing, China, May 19-23, 2008:3452-3456.[3]侯华. 周武旸. 朱近康. 基于跨层公平性准则的自适应无线资源分配方法[J]. 电子与信息学报, 2008, 30(3): 632-642.Hou H, Zhou W Y, and Zhu J K. An adaptive wirelessresource allocation scheme based on cross-layer fairnesscriterion[J]. Journal of Electronics and InformationTechnology, 2008, 30(3): 632-642.[4]Yu G D, Zhang Z Y, and Chen Y, et al.. Subcarrier and bitallocation for OFDMA systems with proportional fairness[C].IEEE WCNC 2006, Las Vegas, USA, April 3-6, 2006, 3:1717-1722.[5]Rhee W and Cioffi J M. Increasing in capacity of multiuserOFDM system using dynamic Subchannel allocation[C].IEEE VTC 2000, Tokyo, Japan, May 15-18, 2000, 2:1085-1089.[6]Liew S C and Zhang Y J. Proportional fairness in multichannelmulti-rate wireless networks-part I: the case ofdeterministic channels with application to AP associationproblem in large-scale WLAN[J].IEEE Transactions onWireless Communications.2008, 7(9):3446-3456[7]Zhang Y J and Liew S C. Proportional fairness in multichannelmulti-rate wireless networks-part II: the case oftime-varying channels[J]. IEEE Transactions on WirelessCommunications, 2008, 7(9): 3457-3467.[8]Xia P F, Zhou S L, and Giannakis G B. Adaptive MIMOOFDMbased partial channel state information [J].IEEETransactions on Signal Processing.2004, 52(1):202-213[9]Chung S T and Goldsmith A J. Degrees of freedom inadaptive modulation: a unified view[J].IEEE Transactionson Communication.2001, 49(9):1561-1571[10]Zhou S L and Giannakis G B. Optimal transmittereigen-beamforming and space-time block coding based onchannel mean feedback[J].IEEE Transactions on SignalProcessing.2002, 50(10):2599-2613
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出版历程
  • 收稿日期:  2008-10-06
  • 修回日期:  2009-07-02
  • 刊出日期:  2009-10-19

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