中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (6): 1-8.doi: 10.1016/S1005-8885(14)60338-1

• Wireless •    下一篇

Energy efficiency of massive MIMO wireless communication systems with antenna selection

胡碧波1,谢刚1,刘元安2,高锦春3

YANG Ya-lin   

  1. 1. 北京邮电大学
    2. 北京邮电大学无线通信中心
    3. 北京邮电大学电信工程学院
  • 收稿日期:2014-06-03 修回日期:2014-09-22 出版日期:2014-12-31 发布日期:2014-12-31
  • 通讯作者: 胡碧波 E-mail:hubibo1990@sina.com
  • 基金资助:

    国家自然科学基金;国家重大专项

Energy efficiency of massive MIMO wireless communication systems with antenna selection

  • Received:2014-06-03 Revised:2014-09-22 Online:2014-12-31 Published:2014-12-31
  • Contact: Bi-Bo HU E-mail:hubibo1990@sina.com

摘要:  Massive multiple-input multiple-output (MIMO) requires a large number (tens or hundreds) of base station antennas serving for much smaller number of terminals, with large gains in energy efficiency and spectral efficiency compared with traditional MIMO technology. Large scale antennas mean large scale radio frequency (RF) chains. Considering the plenty of power consumption and high cost of RF chains, antenna selection is necessary for Massive MIMO wireless communication systems in both transmitting end and receiving end. An energy efficient antenna selection algorithm based on convex optimization was proposed for Massive MIMO wireless communication systems. On the condition that the channel capacity of the cell is larger than a certain threshold, the number of transmit antenna, the subset of transmit antenna and servable mobile terminals (MTs) were jointly optimized to maximize energy efficiency. The joint optimization problem was proved in detail. The proposed algorithm is verified by analysis and numerical simulations. Good performance gain of energy efficiency is obtained comparing with no antenna selection.

关键词: energy efficiency, massive MIMO, wireless communication systems, antenna selection, joint optimization

Abstract:  Massive multiple-input multiple-output (MIMO) requires a large number (tens or hundreds) of base station antennas serving for much smaller number of terminals, with large gains in energy efficiency and spectral efficiency compared with traditional MIMO technology. Large scale antennas mean large scale radio frequency (RF) chains. Considering the plenty of power consumption and high cost of RF chains, antenna selection is necessary for Massive MIMO wireless communication systems in both transmitting end and receiving end. An energy efficient antenna selection algorithm based on convex optimization was proposed for Massive MIMO wireless communication systems. On the condition that the channel capacity of the cell is larger than a certain threshold, the number of transmit antenna, the subset of transmit antenna and servable mobile terminals (MTs) were jointly optimized to maximize energy efficiency. The joint optimization problem was proved in detail. The proposed algorithm is verified by analysis and numerical simulations. Good performance gain of energy efficiency is obtained comparing with no antenna selection.

Key words:

Energy efficiency, Massive MIMO,antenna selection, joint optimization