电信科学 ›› 2016, Vol. 32 ›› Issue (10): 63-70.doi: 10.11959/j.issn.1000-0801.2016275

• 研究与开发 • 上一篇    下一篇

多用户无线信能同传系统能效优化方法

陈潮1,2,彭成3,周胜利1,潘博4   

  1. 1 浙江警察学院计算机与信息技术系,浙江 杭州310053
    2 华东师范大学信息科学技术学院,上海200241
    3 浙江理工大学信息科学技术学院,浙江 杭州310018
    4 嘉兴国电通新能源科技有限公司,浙江 嘉兴314000
  • 出版日期:2016-10-15 发布日期:2017-04-27
  • 基金资助:
    国家自然科学基金委员会—浙江省两化融合联合基金资助项目;浙江省重大科技专项重点工业项目

Energy efficiency optimization method for multi-user simultaneous wireless information and power transfer

Chao CHEN1,2,Cheng PENG3,Shengli ZHOU1,Bo PAN4   

  1. 1 Department of Computer and Information Technology, Zhejiang Police College, Hangzhou 310053, China
    2 School of Information Science Technology, East China Normal University, Shanghai 200241, China
    3 School of Information and Science Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
    4 Jiaxing GuoDianTong New Energy Co., Ltd., Jiaxing 314000, China
  • Online:2016-10-15 Published:2017-04-27
  • Supported by:
    NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization;Key Industrial ProjectFounded by Zhejiang Province Science and Technology Department

摘要:

针对多用户无线信能同传系统下行链路,研究多用户无线信能同传系统能效优化方法,提出了一种改进型Dinkelbach方法。首先利用Dinkelbach方法将分式问题转换为减式问题,再通过引入冗余变量将和速率最大化问题等价为加权均方误差最小化相关问题,并利用凹凸优化的思想将该问题近似为二阶锥规划凸问题,最后利用块坐标算法对此问题进行迭代求解得出改进型Dinkelbach方法。仿真结果表明,该方法能有效改善系统能量效率。

关键词: 射频信号, 无线网络信能同传系统, 改进的Dinkelbach方法, 能效优化

Abstract:

Joint transceiver design for achieving energy efficiency maximization was studied in multi-user downlink systems with simultaneous wireless information and power transfer. An improved Dinkelbach method was proposed. Specifically, the problem is converted to a series of subtraction form problems following the basic idea of Dinkelbach method. By introducing a set of auxiliary variables, the subtraction form problem is further equivalently cast as a weighted mean-square-error minimization problem, which is solved by using concave-convex procedure and second-order-cone programming(SOCP). Simulation results validates the efficiency of the proposed method.

Key words: radio frequency, simultaneous wireless information and power transfer, improved Dinkelbach method, energy efficiency optimization

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