IRS辅助的认知反向散射通信网络性能增强方案

doi:10.11959/j.issn.1000-436x.2021233

通信学报 ›› 2021, Vol. 42 ›› Issue (12): 172-181.doi: 10.11959/j.issn.1000-436x.2021233

IRS辅助的认知反向散射通信网络性能增强方案

吕斌, 曹怡, 李健, 齐婷

南京邮电大学宽带无线通信与传感网技术教育部重点实验室，江苏南京 210003

修回日期:2021-12-01 出版日期:2021-12-01 发布日期:2021-12-01
作者简介: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
曹怡（1998- ），女，江苏无锡人，南京邮电大学硕士生，主要研究方向为IRS辅助的无线通信系统性能优化等
李健（1996- ），男，江苏扬州人，南京邮电大学硕士生，主要研究方向为IRS辅助的无线通信系统性能优化等
齐婷（1990- ），女，安徽安庆人，博士，南京邮电大学讲师，主要研究方向为大规模接入与传输、无线供电通信等
基金资助:
国家自然科学基金资助项目(61901229);江苏省博士后科研基金资助项目(SBH20002);江苏省博士后科研基金资助项目(SBH20003);江苏省自然科学基金资助项目(BK20200759);江苏省高等学校自然科学研究基金资助项目(19KJB510009);南京邮电大学科研启动基金资助项目(219012);南京邮电大学科研启动基金资助项目(219013)

Performance enhancement scheme for IRS-assisted cognitive backscatter communication network

Bin LYU, Yi CAO, Jian LI, Ting QI

Key Lab of Broadband Wireless Communication and Sensor Network Technology， Ministry of Education， Nanjing University of Posts and Telecommunications， Nanjing 210003， China

Revised:2021-12-01 Online:2021-12-01 Published:2021-12-01
Supported by:
The National Natural Science Foundation of China(61901229);Postdoctoral Research Funding Program of Jiangsu Province(SBH20002);Postdoctoral Research Funding Program of Jiangsu Province(SBH20003);The Natural Science Foundation of Jiangsu Province(BK20200759);The Natural Science Research of Higher Education Institutions of Jiangsu Province(19KJB510009);Research Startup Fund-ing Program of Nanjing University of Posts and Telecommunications(219012);Research Startup Fund-ing Program of Nanjing University of Posts and Telecommunications(219013)

摘要/Abstract

摘要：

为解决认知无线电网络（CRN）的可持续供电问题和改善其通信效率，面向Overlay场景，提出了智能反射面（IRS）辅助的高效多模式融合传输方案。特别地，次发射机（ST）可以在反向散射通信（BackCom）和收集再传输（HTT）模式间切换，IRS 被用以提升 ST 的能量采集、信息被动反射和信息主动传输效率。为了最大化系统和速率，定义了关于IRS相移、时隙调度和发射功率的联合优化问题。由于所定义的问题是非凸的，因此通过设计基于块坐标下降（BCD）的迭代优化算法获得了次优解。仿真结果表明，相较于参照方案，所提方案最多可将系统和速率提高200%。

关键词: 认知无线电, 智能反射面, 反向散射通信, 收集再传输, 联合优化

Abstract:

In order to achieve the self-sustainable cognitive radio network （CRN） and improve its communication efficiency， an efficient multi-mode switching scheme assisted by the intelligent reflecting surface （IRS） for the overlay scenario was proposed.In particular， the secondary transmitter （ST） could work in either backscatter communication （BackCom） mode or harvest-then-transmit （HTT） mode.The IRS was exploited to enhance the energy harvesting， information backscattering， and information transmission efficiencies at the ST.To maximize the system sum-rate， an optimization problem about the phase shirts at the IRS， time scheduling， and power allocation was formulated.Since the formulated problem was non-convex， an efficient block coordinate descent （BCD） based algorithm was proposed to achieve the sub-optimal solution.Simulation results confirm that the proposed scheme can achieve up to 200% sum-rate gain over the benchmark schemes.

Key words: cognitive radio, intelligent reflecting surface, backscatter communication, harvest-then-transmit, joint opti-mization

中图分类号:

TN92

吕斌, 曹怡, 李健, 齐婷. IRS辅助的认知反向散射通信网络性能增强方案[J]. 通信学报, 2021, 42(12): 172-181.

Bin LYU, Yi CAO, Jian LI, Ting QI. Performance enhancement scheme for IRS-assisted cognitive backscatter communication network[J]. Journal on Communications, 2021, 42(12): 172-181.

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IRS辅助的认知反向散射通信网络性能增强方案

Performance enhancement scheme for IRS-assisted cognitive backscatter communication network

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