莱斯信道下分布式大规模MIMO系统基站选择算法的研究

李泳志; 陶成; 刘留; 卢艳萍; 刘凯

doi:10.11999/JEIT150811

莱斯信道下分布式大规模MIMO系统基站选择算法的研究

doi: 10.11999/JEIT150811

1.
(北京交通大学宽带无线移动通信研究所北京 100044) ②(东南大学移动通信国家重点实验室南京 211189)

基金项目:

国家863计划(2014AA01A706)，北京市科技新星计划(2016023)，中央高校基本科研业务费专项资金(2015JBM011)，国家自然科学基金面上项目(61471027)，东南大学移动通信国家重点实验室开放研究基金(2014D05)，北京市自然科学基金(4152043)

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出版历程
- 收稿日期: 2015-07-08
- 修回日期: 2015-12-11
- 刊出日期: 2016-04-19

Base Station Selection Algorithm for Distributed Massive MIMO System over Rician Fading Channels

1.
(Institute of Broadband Wireless Mobile Communications, Beijing Jiaotong University, Beijing 100044, China)

Funds:

The National 863 Project of China (2014AA01A706), Beijing Science and Technology Talents Program (2016023), Fundamental Research Funds for the Central Universities (2015JBM011), The National Natural Science Foundation of China (61471027), The Research Fund of National Mobile Communications Research Laboratory, Southeast University (2014D05), Beijing Natural Science Foundation Project (4152043)

摘要

摘要: 该文考虑一种分布式大规模MIMO系统，假设基站端与用户之间的信道为莱斯信道，研究了该系统中基站选择的算法。首先给出了系统采用匹配滤波和迫零预编码时，用户下行可达速率的闭式表达式，并分析了系统的功率效率性能。然后基于此闭式表达式，以最大化系统的频谱效率为目标，提出了基于增量选择和基于用户优先级的基站选择算法。这两种算法只需要系统获取基站端与用户之间的信道统计特征信息，从而有效降低了系统开销。仿真结果表明，所提出的两种基站选择算法性能仍能逼近最优算法。特别地，当采用匹配滤波预编码且基站端天线数趋于无穷时，基于用户优先级的基站选择算法优于基于增量选择的算法。
- 大规模MIMO /
- 分布式 /
- 莱斯信道 /
- 基站选择 /
- 频谱效率
Abstract: The Base Station (BS) selection for distributed massive MIMO system is studied. The channels between the BSs and the users are assumed to be Rician fading. First the closed-form expressions of downlink achievable rates for Matched-Filter (MF) and Zero-Forcing (ZF) precoding are derived respectively, and the power efficiency performance of the system is investigated. Based on the closed-form expressions, the approximate incremental BS selection and the approximate user priority BS selection algorithms are proposed, both of which only require the statistical Channel State Information (CSI), to maximize the system spectral efficiency. Numerical results show that the proposed algorithms perform close to the optimal one. Specifically, it is shown that the approximate user priority BS selection algorithm outperforms the approximate incremental one when the BSs utilize the MF precoding in the large scale antenna limit.
- Massive MIMO /
- Distributed /
- Rician fading channel /
- Base Station (BS) selection /
- Spectral efficiency

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参考文献(24)

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