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IRS辅助无线协能通信网络中继的资源分配

范红卫,徐涴砯   

  1. 上海海事大学
  • 收稿日期:2024-05-16 修回日期:2024-09-01 发布日期:2024-09-27 出版日期:2024-09-27
  • 通讯作者: 范红卫
  • 基金资助:
    上海市青年科技英才扬帆计划资助

Resource Allocation for Relaying in IRS-assisted Wireless Powered Communication Networks

  • Received:2024-05-16 Revised:2024-09-01 Online:2024-09-27 Published:2024-09-27
  • Supported by:
    Sponsored by Shanghai Sailing Program

摘要: 针对无线供电通信网络(WPCN)覆盖范围小、易受障碍物阻挡的问题,研究了在通信阻塞条件下智能反射面(IRS)辅助 WPCN 系统中继的资源分配。具体地,在下行链路中,利用 IRS 辅助用户从混合接入点(HAP)处收集能量;在上行链路中,利用 IRS 辅助用户发送信息给 HAP。考虑到系统中包含能量传输和信息传输,采用时分多址 (TDMA)对能量采集、数据通信以及数据中继传输进行划分。根据所构建的系统模型和传输策略,以用户服务质量和用户发送信息消耗的能量为约束,提出能量效率优化问题,并通过联合优化发送功率、IRS 相移矩阵和时间调度,实现系统总能量效率的最大化。由于提出问题的非凸性,先采用Dinkelbach 方法将目标函数的分数形式转换成非分数形式,然后采用变量代换和半正定规划(SDP)将非凸问题转换成凸问题,最后用 CVX 得到优化问题的次优解。仿真结果表明,所提方案不仅扩大了该系统的覆盖范围,还有效提升了系统的能效。与平均分配时间方案和采用混合中继节点相比,所提方案使系统能效平均提升了12.43%和 30.46%。

关键词: 无线协能通信网络, 智能反射面, 资源分配, 时分多址技术, 能量效率, Dinkelbach方法, 半正定规划方法

Abstract: Aiming at the problems of small coverage area and easy to be blocked by obstacles in Wireless Powered Communication Network (WPCN), the resource allocation of Intelligent Reflective Surface (IRS)assisted relaying in WPCN systems under communication blocking conditions was investigated. Specifically, in the downlink, IRS was used to assist users to collect energy from the Hybrid Access Point (HAP); in the uplink, IRS was used to assist users to send information to the HAP. Considering that the system contains both energy transmission and information transmission, the Time Division Multiple Access (TDMA) was used to divide the energy collection, the data communication, and the data relay transmission. Based on the constructed system model and transmission strategy, the energy efficiency optimisation problem was proposed with the constraints of user's quality of service and the energy consumed by the user to send information.The total energy efficiency of the system was maximised by jointly optimising the sending power, IRS phase shift matrix and time scheduling. Due to the non-convex nature of the proposed problem, the fractional form of the objective function was first converted to a non-fractional form using Dinkelbach's method, then the non-convex problem was converted to a convex problem using variable substitution and Semi-Definite Programming (SDP), and finally the suboptimal solution of the optimisation problem was obtained using CVX. Simulation results show that the proposed scheme not only extends the coverage of this system, but also effectively improves the energy efficiency of the system. Compared with the average allocation time scheme and the use of hybrid relay nodes, the proposed scheme improves the system energy efficiency by 12.43% and 30.46% on average.

Key words: Wireless Powered Communication Network(WPCN), Intelligent Reflecting Surface(IRS), resource allocation, Time Division Multiple Access(TDMA), energy efficiency, Dinkelbach method, Semi-Definite Programming(SDP)

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