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萊斯信道下分布式大規(guī)模MIMO系統(tǒng)基站選擇算法的研究

李泳志,  陶成,  劉留,  盧艷萍,  劉凱

李泳志, 陶成, 劉留, 盧艷萍, 劉凱. 萊斯信道下分布式大規(guī)模MIMO系統(tǒng)基站選擇算法的研究[J]. 電子與信息學(xué)報, 2016, 38(4): 856-862. doi: 10.11999/JEIT150811
引用本文: 李泳志, 陶成, 劉留, 盧艷萍, 劉凱. 萊斯信道下分布式大規(guī)模MIMO系統(tǒng)基站選擇算法的研究[J]. 電子與信息學(xué)報, 2016, 38(4): 856-862. doi: 10.11999/JEIT150811
LI Yongzhi, TAO Cheng, LIU Liu, LU Yanping, LIU Kai. Base Station Selection Algorithm for Distributed Massive MIMO System over Rician Fading Channels[J]. Journal of Electronics & Information Technology, 2016, 38(4): 856-862. doi: 10.11999/JEIT150811
Citation: LI Yongzhi, TAO Cheng, LIU Liu, LU Yanping, LIU Kai. Base Station Selection Algorithm for Distributed Massive MIMO System over Rician Fading Channels[J]. Journal of Electronics & Information Technology, 2016, 38(4): 856-862. doi: 10.11999/JEIT150811

萊斯信道下分布式大規(guī)模MIMO系統(tǒng)基站選擇算法的研究

doi: 10.11999/JEIT150811 cstr: 32379.14.JEIT150811
  • 1.

    (北京交通大學(xué)寬帶無線移動通信研究所 北京 100044) ②(東南大學(xué)移動通信國家重點實驗室 南京 211189)

基金項目: 

國家863計劃(2014AA01A706)，北京市科技新星計劃(2016023)，中央高?；究蒲袠I(yè)務(wù)費專項資金(2015JBM011)，國家自然科學(xué)基金面上項目(61471027)，東南大學(xué)移動通信國家重點實驗室開放研究基金(2014D05)，北京市自然科學(xué)基金(4152043)

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: 該文考慮一種分布式大規(guī)模MIMO系統(tǒng)，假設(shè)基站端與用戶之間的信道為萊斯信道，研究了該系統(tǒng)中基站選擇的算法。首先給出了系統(tǒng)采用匹配濾波和迫零預(yù)編碼時，用戶下行可達速率的閉式表達式，并分析了系統(tǒng)的功率效率性能。然后基于此閉式表達式，以最大化系統(tǒng)的頻譜效率為目標(biāo)，提出了基于增量選擇和基于用戶優(yōu)先級的基站選擇算法。這兩種算法只需要系統(tǒng)獲取基站端與用戶之間的信道統(tǒng)計特征信息，從而有效降低了系統(tǒng)開銷。仿真結(jié)果表明，所提出的兩種基站選擇算法性能仍能逼近最優(yōu)算法。特別地，當(dāng)采用匹配濾波預(yù)編碼且基站端天線數(shù)趨于無窮時，基于用戶優(yōu)先級的基站選擇算法優(yōu)于基于增量選擇的算法。
    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.
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出版歷程
  • 收稿日期:  2015-07-08
  • 修回日期:  2015-12-11
  • 刊出日期:  2016-04-19

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