中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (3): 1-7.doi: 10.1016/S1005-8885(13)60040-0

• Wireless •    下一篇

Energy efficient power allocation strategy for downlink MU-MIMO with massive antennas

赵龙1,赵慧2,郑侃3   

  1. Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2012-10-11 修回日期:2013-01-17 出版日期:2013-06-30 发布日期:2013-06-26
  • 通讯作者: 赵龙 E-mail:z.long.gm@gmail.com
  • 基金资助:

    This work was supported by the Foundational Research Funds for the Central Universities, the National Basic Research Program of China (2012CB316005), the Program for New Century Excellent Talents in University (NCET-11-0600), and the National Key Technology R&D Program of China (2012ZX03004004).

Energy efficient power allocation strategy for downlink MU-MIMO with massive antennas

ZHAO Long , ZHAO Hui, ZHENG Kan   

  1. Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2012-10-11 Revised:2013-01-17 Online:2013-06-30 Published:2013-06-26
  • Contact: Long Zhao E-mail:z.long.gm@gmail.com
  • Supported by:

    This work was supported by the Foundational Research Funds for the Central Universities, the National Basic Research Program of China (2012CB316005), the Program for New Century Excellent Talents in University (NCET-11-0600), and the National Key Technology R&D Program of China (2012ZX03004004).

摘要:

With the increasing energy consumption, energy efficiency (EE) has been considered as an important metric for wireless communication networks as spectrum efficiency (SE). In this paper, EE optimization problem for downlink multi-user multiple-input multiple-output (MU-MIMO) system with massive antennas is investigated. According to the convex optimization theory, there exists a unique globally optimal power allocation achieving the optimal EE, and the closed-form of the optimal EE only related to channel state information is derived analytically. Then both the approximate and accurate power allocation algorithms with different complexity are proposed to achieve the optimal EE. Simulation results show that the optimal EE obtained by the approximate algorithm coincides to that achieved by the accurate algorithm within the controllable error limitation, and these proposed algorithms perform better than the existing equal power allocation algorithm. The optimal EE and corresponding SE increase with the number of antennas at base station, which is promising for the next generation wireless communication networks.

关键词:

green communications, SE, EE, MU-MIMO, zero-forcing

Abstract:

With the increasing energy consumption, energy efficiency (EE) has been considered as an important metric for wireless communication networks as spectrum efficiency (SE). In this paper, EE optimization problem for downlink multi-user multiple-input multiple-output (MU-MIMO) system with massive antennas is investigated. According to the convex optimization theory, there exists a unique globally optimal power allocation achieving the optimal EE, and the closed-form of the optimal EE only related to channel state information is derived analytically. Then both the approximate and accurate power allocation algorithms with different complexity are proposed to achieve the optimal EE. Simulation results show that the optimal EE obtained by the approximate algorithm coincides to that achieved by the accurate algorithm within the controllable error limitation, and these proposed algorithms perform better than the existing equal power allocation algorithm. The optimal EE and corresponding SE increase with the number of antennas at base station, which is promising for the next generation wireless communication networks.

Key words:

green communications, SE, EE, MU-MIMO, zero-forcing