扫描手机二维码

欢迎您的访问
您是第 位访客

开通时间:..

最后更新时间:..

  • 虞湘宾 ( 教授 )

    的个人主页 http://faculty.nuaa.edu.cn/yxb/zh_CN/index.htm

  •   教授
  • 招生学科专业:
    信息与通信工程 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
    电子信息 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果
Power allocation scheme for energy efficiency maximization in distributed antenna system with discrete-rate adaptive modulation

点击次数:
所属单位:电子信息工程学院
发表刊物:IEICE Trans Commun
摘要:In this paper, we study the power allocation (PA) scheme design for energy efficiency (EE) maximization with discrete-rate adaptive modulation (AM) in the downlink distributed antenna system (DAS). By means of the Karush-Kuhn-Tucker (KKT) conditions, an optimal PA scheme with closed-form expression is derived for maximizing the EE subject to maximum transmit power and target bit error rate (BER) constraints, where the number of active transmit antennas is also derived for attaining PA coefficients. Considering that the optimal scheme needs to calculate the PA of all transmit antennas for each modulation mode, its complexity is extremely high. For this reason, a low-complexity suboptimal PA is also presented based on the antenna selection method. By choosing one or two remote antennas, the suboptimal scheme offers lower complexity than the optimal one, and has almost the same EE performance as the latter. Besides, the outage probability is derived in a performance evaluation. Computer simulation shows that the developed optimal scheme can achieve the same EE as the exhaustive search based approach, which has much higher complexity, and the suboptimal scheme almost matches the EE of the optimal one as well. The suboptimal scheme with two-antenna selection is particularly effective in terms of balancing performance and complexity. Moreover, the derived outage probability is in good agreement with the corresponding simulation. Copyright © 2019 The Institute of Electronics, Information and Communication Engineers.
ISSN号:0916-8516
是否译文:否
发表时间:2019-01-01
合写作者:汪曦,Teng, Tao,Li, Qiyishu,汪飞
通讯作者:虞湘宾

 

版权所有©2018- 南京航空航天大学·信息化处(信息化技术中心)