大规模MIMO系统用户数优化算法

doi:10.3969/j.issn.1001-2400.2015.02.001

J4 ›› 2015, Vol. 42 ›› Issue (2): 1-6+101.doi: 10.3969/j.issn.1001-2400.2015.02.001

• 研究论文 • 下一篇

大规模MIMO系统用户数优化算法

李晓辉;吴雅颖;黑永强

(西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071)

收稿日期:2013-11-11 出版日期:2015-04-20 发布日期:2015-04-14
通讯作者: 李晓辉
作者简介:李晓辉(1972-)，女，教授，博士，E-mail：xhli@mail.xidian.edu.cn．
基金资助:
国家自然科学基金资助项目(61201135)；国家863计划资助项目(2014AA01A704)；高等学校学科创新引智计划资助项目(B08038)

Number of users optimization for large-scale MIMO systems

LI Xiaohui;WU Yaying;HEI Yongqiang

(State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China)

Received:2013-11-11 Online:2015-04-20 Published:2015-04-14
Contact: LI Xiaohui

摘要/Abstract

摘要：

研究了大规模多输入多输出(MIMO)系统的用户数优化算法，将空间自由度引入采用正则化迫零(RZF)预处理的大规模MIMO系统容量分析中，推导了一定空间自由度下的近似系统遍历容量解析表达式．在此基础上，建立了联合正则化因子和用户数优化的系统遍历容量最大化模型，给出了将联合优化问题简化为用户数优化问题的条件．通过二分法得到了优化问题的惟一最优解．仿真和分析表明，所提优化算法可以获得与最优算法几乎相同的系统遍历容量，且计算复杂度低．

关键词: 大规模多输入多输出, 空间自由度, 近似容量, 正则化迫零, 用户数

Abstract:

The large-scale MIMO system using the regularized zero-forcing (RZF) precoding is considered and the space degree of freedom (DOF) is introduced. The expression for the approximate ergodic capacity is derived and the problem of the joint RZF precoding and user number optimization is presented. Theoretical analysis illustrates that the joint optimization problem can be transformed to the user number optimization problem under some conditions. It can be derived that the unique optimum solution can be obtained by using a bisection based joint optimal algorithm. Simulation results show that the proposed algorithm can achieve almost the same capacity as the best optimization algorithm but with a much lower complexity in the large-scale MIMO systems.

Key words: large-scale MIMO, space degree of freedom, approximate capacity, regularized zero-forcing, user number

中图分类号:

TN 929.5

李晓辉;吴雅颖;黑永强 . 大规模MIMO系统用户数优化算法[J]. J4, 2015, 42(2): 1-6+101.

LI Xiaohui;WU Yaying;HEI Yongqiang . Number of users optimization for large-scale MIMO systems[J]. J4, 2015, 42(2): 1-6+101.

参考文献

［1］ Larsson E G, Edfors O, Tufvesson F, et al. Massive MIMO for Next Generation Wireless Systems［J］. IEEE Communication Magazine, 2014, 52(2): 186-195.
［2］ Ngo H Q, Larsson E G, Marzetta T L. Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems［J］. IEEE Transactions on Communications, 2013, 61(4): 1436-1449.
［3］ Hoydis J, Ten Brink S, Debbah M. Comparison of Linear Precoding Schemes for Downlink Massive MIMO［C］//IEEE International Conference on Communications. Piscataway: IEEE, 2012: 2135-2139.
［4］ Wagner S, Couillet R, Debbah M, et al. Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback ［J］. IEEE Transactions on Information Theory, 2012, 58(7): 4509-4537.
［5］ Hoydis J, Ten Brink S, Debbah M. Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? ［J］. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 160-171.
［6］张贤达. 矩阵分析与应用［M］. 北京: 清华大学出版社, 2008.
［7］ Zhang Jun, Wen Chaokai, Jin Shi, et al. On Capacity of Large-scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas ［J］. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 133-148.
［8］王安荣, 李志武. 基本信标计算的一种快速算法［J］. 西安电子科技大学学报, 2008, 35(4): 632-638.
Wang Anrong, Li Zhiwu. Effective Algorithm for Obtaining a Set of Elementary Siphons［J］. Journal of Xidian University, 2008, 35(4): 632-638.
［9］ Amir M, El-Keyi A, Nafie M. Constrained Interference Alignment and the Spatial Degrees of Freedom of MIMO Cognitive Networks ［J］. IEEE Transactions on Information Theory, 2011, 57(5): 1-5.
［10］ Liu A, Lau V K N. Joint Power and Antenna Selection Optimization for Energy-efficient Large Distributed MIMO Networks ［C］//IEEE International Conference on Communication Systems. Piscataway: IEEE, 2012: 230-234.

[1]	李文刚;胡爱丽;孙珑心;王屹伟. LOS环境下零导频Massive MIMO通信方法[J]. 西安电子科技大学学报, 2018, 45(4): 1-5+85.
[2]	李晓洁;李颖;韩会梅. 大规模MIMO系统下的导频随机接入方案[J]. 西安电子科技大学学报, 2018, 45(1): 55-59.
[3]	孙立宁;谢小辉;杜志江. 基于Internet的机器人实时双向遥操作[J]. J4, 2005, 32(1): 146-151.
[4]	刘静;李建东;陈彦辉. 一种基于用户的自适应安排多址接入协议[J]. J4, 2004, 31(6): 841-845.

大规模MIMO系统用户数优化算法

Number of users optimization for large-scale MIMO systems

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

Metrics

本文评价

推荐阅读 0