计算机工程 ›› 2019, Vol. 45 ›› Issue (3): 142-147.doi: 10.19678/j.issn.1000-3428.0050228

• 移动互联与通信技术 • 上一篇    下一篇

认知无线电环境下无线能量通信网能效研究

冯刚1,覃锡忠1,贾振红1,牛红梅2,王哲辉2   

  1. 1.新疆大学 信息科学与工程学院,乌鲁木齐 830046; 2.中国移动通信集团新疆有限公司 网络监控部,乌鲁木齐 830046
  • 收稿日期:2018-01-22 出版日期:2019-03-15 发布日期:2019-03-15
  • 作者简介:冯刚(1992—),男,硕士研究生,主研方向为认知无线电网络、绿色通信;覃锡忠(通信作者),副教授、硕士;贾振红,教授、博士;牛红梅,硕士;王哲辉,工程师。
  • 基金项目:

    中国移动通信集团新疆有限公司研究发展基金(XTM2013-2788)。

Research on Energy Efficiency of Wireless Powered Communication Network in Cognitive Radio Environment

FENG Gang1,QIN Xizhong1,JIA Zhenhong1,NIU Hongmei2,WANG Zhehui2   

  1. 1.College of Information Science and Engineering,Xinjiang University,Urumqi 830046,China; 2.Department of Network Monitoring,China Mobile Communications Group Xinjiang Co.,Ltd.,Urumqi 830046,China
  • Received:2018-01-22 Online:2019-03-15 Published:2019-03-15

摘要:

为提高无线能量通信网的能效,建立一种认知无线电环境下的多信号源采集模型。因模型优化问题是一个非凸问题,利用分式规划原理将其转变为一个标准的凸优化问题,在此基础上,通过联合优化时间分配与功率控制并提出一种优化迭代算法,以实现系统能效的最大化。仿真结果表明,该模型系统能效较高、收敛速度较快。

关键词: 无线能量通信网, 能效, 能量采集, 认知无线电, 优化迭代算法

Abstract:

In order to improve the energy efficiency of Wireless Powered Communication Network(WPCN),a multiple signal source acquisition model in cognitive radio environment is established.Because the model optimization problem is a non-convex problem,it is transformed into a standard convex optimization problem by using fractional programming principle.On this basis,an optimization iteration algorithm is proposed to maximize the energy efficiency of the system through joint optimization of time allocation and power control.Simulation results show that the proposed model system has higher energy efficiency and faster convergence speed.

Key words: Wireless Powered Communication Network(WPCN), energy efficiency, energy harvesting, cognitive radio, optimization iterative algorithm

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