智能反射表面辅助的无线携能通信网络资源分配算法

孙巍; 宋清洋; 郭磊

doi:10.11959/j.issn.1000-436x.2022023

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智能反射表面辅助的无线携能通信网络资源分配算法

学术论文 | 更新时间：2024-06-05

- 智能反射表面辅助的无线携能通信网络资源分配算法
- Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks
- 通信学报 2022年43卷第2期页码：34-43
- 作者机构：
  
  1. 东北大学计算机科学与工程学院，辽宁沈阳 110089
  2. 重庆邮电大学智能通信与网络安全研究院，重庆 400065
- 作者简介：
  
  [ "孙巍（1992-），女，辽宁辽阳人，东北大学博士生，主要研究方向为无线携能通信、智能反射表面、资源分配等" ]
  [ "宋清洋（1976-），女，河北丰润人，博士，重庆邮电大学教授、博士生导师，主要研究方向为边缘网络资源融合管理、无线携能通信、智能反射表面等" ]
  [ "郭磊（1980-），男，四川眉山人，博士，重庆邮电大学教授、博士生导师，主要研究方向为光通信网络、无线通信网络" ]
- 基金信息：
  
  国家自然科学基金资助项目(62025105);重庆市自然科学基金资助项目(cstc2020jcyj-msxmX0918)
- DOI：10.11959/j.issn.1000-436x.2022023
  中图分类号： TN92
- 网络首发：2022-02，
  
  纸质出版：2022-02-25
- 稿件说明：
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孙巍, 宋清洋, 郭磊. 智能反射表面辅助的无线携能通信网络资源分配算法[J]. 通信学报, 2022,43(2):34-43.

Wei SUN, Qingyang SONG, Lei GUO. Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks[J]. Journal on Communications, 2022, 43(2): 34-43.
孙巍, 宋清洋, 郭磊. 智能反射表面辅助的无线携能通信网络资源分配算法[J]. 通信学报, 2022,43(2):34-43. DOI： 10.11959/j.issn.1000-436x.2022023.

Wei SUN, Qingyang SONG, Lei GUO. Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks[J]. Journal on Communications, 2022, 43(2): 34-43. DOI： 10.11959/j.issn.1000-436x.2022023.

摘要

为了解决终端设备能量受限、网络覆盖范围有限等问题，实现绿色万物高效互联，引入了一种新的智能反射表面技术，构建智能反射表面辅助的无线携能通信网络。为了进一步提升该网络的总吞吐量，提出了一种以速率和最大化为目标的资源分配方案。考虑基站的发射功率限制、所有物联网设备最低能量需求限制和智能反射表面的相移约束，建立联合发射波束设计、功率分割比决策及相移设计的混合资源分配模型。由于所规划的问题是非凸的且变量间存在耦合关系，设计了一种有效的基于块坐标下降迭代算法，并利用连续凸近似方法和黎曼流形方法实现联合发射波束设计、功率分割比优化及相移设计。仿真结果表明，所提方案在速率和方面优于现有的资源分配方案。

Abstract

In order to achieve the efficient interconnection of everything

under the limitations of terminal devices’ batteries and network coverage

the intelligent reflecting surface (IRS) technology was introduced to build a new IRS-aided simultaneous wireless information and power transfer (SWIPT) network.To further improve the total throughput of the network

a resource allocation (RA) scheme aiming at sum-rate maximization was proposed.Considering that the constraints of the maximum transmit power of a base station

the minimum energy requirement of each device and the phase shifts on an IRS

a joint transmit beamforming

power splitting (PS) ratio and phase shift optimization problem was formulated.Due to the non-convex problem and coupled variables

a block coordinate descent (BCD)-based algorithm was proposed.Then

the joint transmit beam forming design

PS ratio optimization and phase shift design were solved by using the successive convex approximation (SCA) and Riemannian manifold methods

respectively.Simulation results show that the proposed RA scheme performs better than the existing RA schemes in terms of sum-rate.

关键词

Keywords

references

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