北京邮电大学学报

  • EI核心期刊

北京邮电大学学报

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中继辅助的反向散射通信网络:混合传输策略设计与优化

徐瑞,叶迎晖,卢光跃   

  1. 西安邮电大学
  • 收稿日期:2023-09-12 修回日期:2023-11-27 发布日期:2024-06-25
  • 通讯作者: 叶迎晖
  • 基金资助:
    国家自然科学基金;陕西省高校科协青年人才托举计划项目;陕西省教育厅专项科研计划项目;西安邮电大学2022年研究生创新基金项目

Relay-Enabled Backscatter Communication Networks: Hybrid Transmission Scheme's Design and Optimization

Ynghui Ye2, 2   

  • Received:2023-09-12 Revised:2023-11-27 Published:2024-06-25
  • Contact: Ynghui Ye

摘要: 针对中继辅助的反向散射通信网络,将整个传输时隙划分为反向散射阶段和采用对称传输策略的中继辅助的反向散射阶段,提出一种混合传输策略,并在此基础上设计一种吞吐量最大化资源分配方法。具体地,通过联合优化时隙分割因子、各阶段物联网节点的功率反射系数以及混合接入点的发射功率构建一个吞吐量最大化的多维资源优化问题。由于存在耦合变量及max-min函数,所建立的问题非凸且无法采用凸优化工具获取最优解。为此,通过引入一系列辅助变量和松弛变量并采用分情况讨论等方法将其转化为等价的凸优化问题。最后,计算机仿真验证所提方案的优越性。

关键词: 中继辅助的反向散射通信网络, 混合传输策略, 资源分配

Abstract: For the relay-enabled backscatter communication network, the entire transmission block is divided into the backscatter phase and the symmetric transmission scheme based relay-enabled backscatter phase, and a hybrid transmission scheme is proposed, based on which a throughput maximization resource allocation scheme is designed. Specifically, a multidimensional resource allocation problem is formulated to maximize the throughput by jointly optimizing the time allocation factor, the power reflection coefficients in each phase of the Internet of Things node and the transmitting power in each phase of the hybrid access point. As the formulated optimization problem includes couplings among optimization variables and the max-min function, it is non-convex and can not be solved by the existing convex tools. Therefore, a series of slack variables and auxiliary variables are introduced and the situational discussion is applied to convert the formulated problem into a convex one. Finally, computer simulations validate the superiority of the proposed scheme.

Key words: relay-enabled backscatter communication networks, hybrid transmission scheme, resource allocation

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