J4 ›› 2011, Vol. 38 ›› Issue (1): 184-188.doi: 10.3969/j.issn.1001-2400.2011.01.030

• 研究论文 • 上一篇    

多用户分布式MIMO系统的低复杂度天线选择算法

郑娜娥;崔维嘉;王大鸣   

  1. (解放军信息工程大学 信息工程学院,河南 郑州  450002)
  • 收稿日期:2010-01-16 出版日期:2011-02-20 发布日期:2011-04-08
  • 通讯作者: 郑娜娥
  • 作者简介:郑娜娥(1984-),女,解放军信息工程大学硕士研究生,E-mail: zhengnaecshz@163.com.
  • 基金资助:

    国家863计划重点项目高频段无线链路技术研究资助项目(2009AA011504)

Fast antenna selection in multi-user distributed MIMO systems

ZHENG Nae;CUI Weijia;WANG Daming   

  1. (School of Information Eng., PLA Information Engineering University, Zhengzhou  450002, China)
  • Received:2010-01-16 Online:2011-02-20 Published:2011-04-08
  • Contact: ZHENG Nae

摘要:

相对于集中式系统,多用户分布式MIMO系统的基站端天线数量显著增大,因此基站端天线选择技术成为该系统的关键技术之一,然而采用传统的天线选择算法会因复杂度过高而制约系统的可实现性.为解决上述问题,针对多用户分布式MIMO系统的上行链路,提出一种基于优化参数的低复杂度接收天线选择算法.该算法采用逐减方法,以迭代优化参数的方式代替容量计算,从而达到降低计算复杂度的目的.复杂度分析和性能仿真结果表明,在有效降低运算量的同时,该算法的容量性能仍逼近最优算法.

关键词: 多用户, 分布式多输入多输出, 天线选择, 容量, 低复杂度

Abstract:

The number of antennas at the base station side in a multi-user distributed MIMO system is much larger than that of a centralized one. Accordingly, antenna selection at the base station side becomes one of the key technologies in such a system. However, traditional algorithms are too complex to be realized. A low complexity receive antenna selection algorithm based on parameter optimization is proposed to deal with the complexity problem in the uplink of multi-user distributed MIMO systems. In order to reduce the complexity, an elimination method with capacity computation replaced by iterative parameter optimization computation is introduced in the algorithm. Both complexity analysis and simulation results show that the computation complexity is largely reduced while the capacity performance is still close to that of the optimal algorithm.

Key words: multi-user, distributed MIMO, antenna selection, capacity, low complexity

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