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Volume 31 Issue 10
Dec.  2010
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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

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

doi: 10.3724/SP.J.1146.2008.01264
  • Received Date: 2008-10-06
  • Rev Recd Date: 2009-07-02
  • Publish Date: 2009-10-19
  • A novel proportional fairness algorithm based on the application time window for multiuser MIMO- OFDM systems with delay channel state information is presented in this paper. With the goal of maximizing overall data throughput in a finite time window W subject to user proportional rate constraints and user power constraints the algorithm of resource allocation is proposed. This algorithm firstly designs constellation distance which meets users bit error rate. Then it maps every user into the corresponding virtual users according to the proportion. Finally in accordance with the shadow price of optimization theory it optimally allocates subcarrier to virtual users. The simulation results show the algorithm can improve total throughput efficiently under the condition of guaranteeing the proportional fairness of users.
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  • 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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