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基于有限反馈MIMO下行多用户调度算法 被引量：1

MU-MIMO downlink scheduling algorithm with limited feedback
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摘要 针对基于有限反馈ZF预编码的MIMO多用户下行系统,提出了一种用户较少情况下的低复杂度调度算法.本算法以系统吞吐量的下限为目标函数,通过吞吐量下限最大化的办法选择用户,使系统获得多用户分集增益,从而增加了系统吞吐量.同时为了解决总反馈量随用户数线性增加的问题,提出了基于门限反馈的办法降低总的反馈速率.仿真结果表明:本算法能够有效地增加系统的吞吐量,选择适当的门限反馈在降低总的反馈速率的同时并未影响系统的性能. Low complexity schedule algorithm with fewer users was proposed for the downlink of multiuser multiple input multiple output（MU-MIMO） system with limited feedback zero-forcing（ZF） precoding.Taking the lower bound function of system throughput as the objective function,the proposed algorithm selected users by maximizing the lower bound value.In this way,multi-user diversity gain was obtained and the system throughput increased.According to the fact that feedback linearly increases with the numbers of users,the algorithm＇s feedback rate was decreased based on the threshold feedback.Simulation results show that the throughput of the system is effectively improved with this algorithm,and with proper threshold feedback the total feedback rate is declined without any negative effects on the system.
作者 韩东升 杨维
机构地区 北京交通大学轨道交通控制与安全国家重点实验室 东南大学移动通信国家重点实验室 华北电力大学电气与电子工程学院
出处 《华中科技大学学报（自然科学版）》 EI CAS CSCD 北大核心 2011年第10期94-98,共5页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家科技重大专项资助项目(2009ZX03003-005) 教育部长江学者和创新团队发展计划资助项目(IRT0949) 轨道交通控制与安全国家重点实验室自主研究课题资助项目(RCS2009ZT014) 东南大学移动通信国家重点实验室开放研究基金资助项目(2010D11)
关键词 MIMO系统 多用户信道 调度算法 反馈 ZF预编码 门限反馈 multiple input multiple output（MIMO） systems multiuser channels scheduling algorithms feedback zero-forcing precoding threshold feedback
分类号 TN929.5 [电子电信—通信与信息系统]
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参考文献13

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同被引文献14

  • 1EMMANOUIL P, MEHRDAD S, ATFA U, et al. On the e- volution of multi-cell scheduling in 3GPP LTE/LTE- A [ J]. IEEE Communications Surveys & Tutorials, 2013, 15( 2): 701-717.
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  • 3ZAKHOUR R, GESBERT D: Distributed multicell-MISO preceding using the layered virtual SINR framework [ J ]. IEEE Transaetions on Wireless Communications, 2010, 9 ( 8 ) : 2444-2448.
  • 4ZHANG Jun, CHEN Runhua, ANDREWS J G, et al. Net- worked MIMO with clustered linear pre-coding [ J ]. IEEE Transactions on Wireless Communications, 2009, 8 ( 4 ) : 1810-1821.
  • 5DAHROUJ H, WEI Y. Coordinated beamforming for the muhicell multi-antenna wireless system [ J ]. IEEE Transac- tions on Wireless Communications, 2010, 9 ( 5 ) : 1748- 1759.
  • 6BHAGAVATULA R, HEATH R W. Adaptive limited feed- back for sum-rate maximizing beamforming in cooperative muhicell systems[ J ]. IEEE Transactions on Signal Process- ing, 2011, 59(2): 800-811.
  • 7YANG C, HAN S, HOU X, et al. How to design CoMP to achieve its promised potential [ J ]. IEEE Wireless Commun Mag, 2013, 20(1) :67-74.
  • 8SHARIF M, HASSIBI B. On the capacity of MIMO broad- cast channels with partial side information[ J] .Transactions on Information Theory, 2005, 41(2) : 506-522.
  • 9YOO T, JINDAL N, GOLDSMITH A. Multi-antenna down- link channels with limited feedback and user selection [ J ]. IEEE Journal on Selected Areas in Communications, 2007, 25(7) : 1478-1491.
  • 10KIANI S G, GESBERT D. Optimal and distributed schedu- ling for multicell capacity maximization[ J]. IEEE Transac- tions on Wireless Communications, 2008,7( 1 ) :288-297.

引证文献1

华中科技大学学报（自然科学版）
2011年 第10期

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