智能反射面辅助的两跳中继无线供电通信网络吞吐量最大化研究

杨震; 冯璇; 吕斌

doi:10.11959/j.issn.1000-436x.2022182

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智能反射面辅助的两跳中继无线供电通信网络吞吐量最大化研究

学术论文 | 更新时间：2024-06-05

- 智能反射面辅助的两跳中继无线供电通信网络吞吐量最大化研究
- Research on throughput maximization for intelligent reflecting surface assisted dual-hop relay wireless powered communication network
- 通信学报 2022年43卷第9期页码：90-99
- 作者机构：
  
  南京邮电大学通信与信息工程学院，江苏南京 210003
- 作者简介：
  
  [ "杨震（1961- ），男，江苏武进人，博士，南京邮电大学教授，主要研究方向为无线通信与网络信号处理、语音处理与现代语音通信等" ]
  [ "冯璇（1998- ），男，山西忻州人，南京邮电大学硕士生，主要研究方向为无线供电通信网络、智能反射面等" ]
  [ "吕斌（1989- ），男，江苏连云港人，博士，南京邮电大学副教授，主要研究方向为网络性能优化、无线供电通信等" ]
- 基金信息：
  
  国家自然科学基金资助项目(62071242);国家自然科学基金资助项目(61671252);国家自然科学基金资助项目(62071005);安徽省自然科学基金资助项目(2008085MF181)
- DOI：10.11959/j.issn.1000-436x.2022182
  中图分类号： TN92
- 网络出版日期：2022-09，
  
  纸质出版日期：2022-09-25
- 稿件说明：
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杨震, 冯璇, 吕斌. 智能反射面辅助的两跳中继无线供电通信网络吞吐量最大化研究[J]. 通信学报, 2022,43(9):90-99.

Zhen YANG, Xuan FENG, Bin LYU. Research on throughput maximization for intelligent reflecting surface assisted dual-hop relay wireless powered communication network[J]. Journal on communications, 2022, 43(9): 90-99.
杨震, 冯璇, 吕斌. 智能反射面辅助的两跳中继无线供电通信网络吞吐量最大化研究[J]. 通信学报, 2022,43(9):90-99. DOI： 10.11959/j.issn.1000-436x.2022182.

Zhen YANG, Xuan FENG, Bin LYU. Research on throughput maximization for intelligent reflecting surface assisted dual-hop relay wireless powered communication network[J]. Journal on communications, 2022, 43(9): 90-99. DOI： 10.11959/j.issn.1000-436x.2022182.

摘要

为了提高基于中继的无线供电通信网络（WPCN）的能量和信息传输效率，提出了双智能反射面（IRS）辅助的两跳中继无线传输方案。其中，IRS

和IRS

分别放置在混合中继节点（HRN）与用户、HRN和基站（BS）之间，使BS和HRN、HRN和用户之间构成反射链路，从而提高HRN到用户的能量传输、用户到HRN的数据传输和HRN到BS的数据转发效率。为了最大化系统吞吐量，考虑了能量、数据传输和数据转发的时间调度、IRS的相位和用户的传输功率的联合优化问题。为了解决该非凸优化问题，提出了高效的交替优化算法，从而求得该问题的次优解。此外，分析了所提算法的收敛性和计算复杂度。仿真结果表明，IRS 能够有效提升基于中继的WPCN的吞吐量。此外，所提最优传输方案下的系统性能优于其他对照方案。

Abstract

To improve the energy and information transmission efficiency of relay-based wireless powered communication network (WPCN)

a two intelligent reflecting surface (IRS) assisted dual-hop relay wireless transmission scheme was proposed.In particular

IRS

and IRS

were deployed between the base station (BS) and hybrid relay node (HRN)

and between the HRN and users

respectively

which could improve the efficiency of energy transfer from the HRN to users

data transmission from users to the HRN and data forwarding from HRN to BS.To maximize the system throughput

an optimization problem was formulated

where the time scheduling of energy

information transmission and forwarding

the phase shifts of IRS

and the delivered power of users were jointly optimized.To address non-convexity of the formulated problem

an efficient alternating optimization algorithm was proposed and the sub-optimal solution was obtained.In addition

the convergence and computational complexity of the proposed algorith

m were analyzed.Numerical results verify that IRS can effectively improve the throughput of WPCN based on relay.In addition

compared to the benchmark schemes

the proposed optimal transmission scheme can significantly improve the system performance in terms of throughput.

关键词

Keywords

references

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