北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2020, Vol. 43 ›› Issue (3): 19-23.doi: 10.13190/j.jbupt.2019-118

• 论文 • 上一篇    下一篇

多载波认知无线电无线携能通信资源分配算法

郭少雄1, 刘玉涛1, 吕玉静1, 张中兆2   

  1. 1. 中国电子科技集团公司 第五十四研究所, 石家庄 050081;
    2. 哈尔滨工业大学 电子与信息工程学院, 哈尔滨 150080
  • 收稿日期:2019-06-22 出版日期:2020-06-28 发布日期:2020-06-24
  • 作者简介:郭少雄(1994-),男,硕士生,E-mail:zhiqunsy@163.com;刘玉涛(1981-),男,高级工程师.
  • 基金资助:
     

Resource Allocation Algorithm for Simultaneous Wireless Information and Power Transfer in Multi-Carrier Cognitive Radio

GUO Shao-xiong1, LIU Yu-tao1, Lü Yu-jing1, ZHANG Zhong-zhao2   

  1. 1. The 54 th Research Institute of CETC, Shijiazhuang 050081, China;
    2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150080, China
  • Received:2019-06-22 Online:2020-06-28 Published:2020-06-24
  • Supported by:
     

摘要: 认知无线电可通过频谱感知提高资源利用率,但会产生感知能耗,降低传输能量.为了保证认知无线电的传输性能,提出认知无线电可利用多载波实现无线携能通信,并分配通信资源,实现系统性能优化.认知无线电利用部分子载波传输信息,采集剩余子载波上主用户射频能量,补充感知耗能.提出的子载波和子载波功率联合优化算法,在保证能量、干扰和总功率受约束的基础上,可最优化系统的吞吐量和能量.仿真结果表明,能量采集会占用传输资源,需要合理分配子载波,使其在速率和能量间取得性能折中.提出的算法通过采集能量补充感知能耗有效地提高了系统吞吐量.

关键词: 多载波认知无线电, 无线携能通信, 资源分配, 吞吐量

Abstract: Cognitive radio can improve spectrum utilization through sensing spectrum, but it may generate circuit energy consumption, which decreases transmission energy.In order to guarantee transmission performance, a multi-carrier is proposed to realize simultaneous wireless information and power transfer whose optimal performance can be achieved through communication resource allocations.Cognitive radio uses some subcarriers to transmit information and collect the primary user radio frequency energy on the remaining subcarriers to supplement the perceived energy consumption.A joint optimization algorithm of subcarrier set and subcarrier power is proposed, which can maximize system performance subject the constraints of energy, interference and total power.Simulations show that energy harvesting may occupy transmission resources, a reasonable allocation of subcarriers is required to achieve a tradefoff between rate and energy.The proposed algorithm effectively improves system throughput by collecting energy to supplement sensing energy consumption.

Key words: multi-carrier cognitive radio, simultaneous wireless information and power transfer, resource allocations, throughput

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