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下行多用户MIMO系统中的低复杂度用户选择 被引量：1

Low Complexity User Selection for Multi-user MIMO Downlink Systems
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摘要 对采用最小均方误差预编码的下行多用户MIMO系统的用户选择问题进行了研究,提出一种低复杂度的用户选择算法。该算法根据贪婪搜索的思想依次选取使最小均方误差最小的用户。仿真结果表明,该算法能达到的和速率与穷举搜索法所能达到的和速率非常接近;与已有的用于迫零预编码系统的用户选择算法相比,该算法的和速率也有一定的提高。 This paper deals with the user selection problem for multi-user MIMO downlink systems with minimum mean square error （MMSE） pre-coding. A low complexity user selection algorithm is proposed, which sequentially selects users with minimum MMSE using the principle of greedy search. Simulation results show that the proposed algorithm can approach the sum rate of exhaustive search. It provides a gain in the sum rate over conventional user selection algorithms for systems with zero forcing （ZF） pre-coding.
作者 张才华 许威 陈明
机构地区 东南大学移动通信国家重点实验室
出处 《应用科学学报》 CAS CSCD 北大核心 2009年第4期331-336,共6页 Journal of Applied Sciences
基金 国家"863"高技术研究发展计划基金(No.2007AA01Z207) 新世纪人才计划基金 东南大学移动通信国家重点实验室研究课题基金(No.2008A06)资助项目
关键词 多输入多输出 多用户 最小均方误差预编码 用户选择 multiple-input multiple-output （MIMO）, multiuser, minimum mean square error pre-coding, user selection
分类号 TN929.5 [电子电信—通信与信息系统]
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参考文献12

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同被引文献11

  • 1CHOI L U,MURCH R D.A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach[J].IEEE Transactions on Wireless Communications,2004,3(1):20-24.
  • 2SPENCER Q H,SWINDLEHURST A L,HAARDT M.Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels[J].IEEE Transactions on Signal Processing,2004,52(2):461-471.
  • 3SADEK M,TARIGHAT A,SAYED A H.A leakage-based precoding scheme for downlink multi-user MIMO channels[J].IEEE Transactions on Wireless Communications,2007,6(5):1711-1721.
  • 4HARDJAWANA W,VUCETIC B,LI Yonghui,ZHou Zhendong.Cooperative multi-user MIMO wireless systems employing precoding and beamforming[C] //GLOBECOM 2009-IEEE Global Telecommunications Conference,Hawaii,USA,2009,11:1-6.
  • 5AMARA M,YI Y W,SLOCK D.Receiver and transmitter iterative optimization using maximum sum-rate criterion for multi-user MIMO systems[C] //Proceedings of the 4th IEEE International Symposium on Communications,Control and Signal Proceasing,Limassol,Cyprus,2010,3:1-5.
  • 6CAIRE G,SHAMAI S.On the achievable throughput of a multi-antenna Gaussian broadcast channel[J].IEEE Transactions on Information Theory,2003,49(7):1691-1706.
  • 7LETAIEF K B,ZHANG Y J.Dynamic multi-nser resource allocation and adaptation for wireless systems[J].IEEE Transactions on Wireless Communications,2006,13(4):38-47.
  • 8JINDAL N,GOLDSMITH A.Dirty-paper coding versus TDMA for MIMO broadcast channels[J].IEEE Transactions on Information Theory,2005,51(5):1783-1794.
  • 9STANKOVIC V,HAARDT M.Successive optimization Tomlinson-Harashima precoding (SO THP) for multi-user MIMO systems[C] // Proceeding of the 30th IEEE International Conference on Acoustics,Speech and Signal Processing,2005:18-23.
  • 10LIAVAS A P.Tomlinson-Harashima precoding with partial channel knowledge[J].IEEE Transactions Communications,2005,53(1):5-9.

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应用科学学报
2009年 第4期

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