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

• Original Articles • Next Articles

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 E-mail:xhli@mail.xidian.edu.cn

Abstract

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

CLC Number:

TN 929.5

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

References

［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.

Number of users optimization for large-scale MIMO systems

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