IRS辅助的星地融合认知网络中断性能分析

doi:10.11959/j.issn.1000-436x.2023124

通信学报 ›› 2023, Vol. 44 ›› Issue (7): 64-75.doi: 10.11959/j.issn.1000-436x.2023124

• 学术论文 • 上一篇

IRS辅助的星地融合认知网络中断性能分析

林敏¹, 郭怀波¹, 刘笑宇¹, 韩略¹, 谈苗苗¹, 杨绿溪²

¹ 南京邮电大学通信与信息工程学院，江苏南京 210003
² 东南大学信息科学与工程学院，江苏南京 210096

修回日期:2023-06-29 出版日期:2023-07-01 发布日期:2023-07-01
作者简介:林敏（1972− ），男，浙江台州人，博士，南京邮电大学教授、博士生导师，主要研究方向为无线通信系统、智能信号处理、天线新技术等
郭怀波（1999− ），男，山东泰安人，南京邮电大学硕士生，主要研究方向为智能反射面辅助通信、星地融合网络等
刘笑宇（1996− ），男，江苏淮安人，南京邮电大学博士生，主要研究方向为无线通信中的信号处理和性能分析等
韩略（1992− ），男，江苏淮安人，博士，南京邮电大学讲师，主要研究方向为空天地一体化、性能分析等
谈苗苗（1999− ），女，四川乐山人，南京邮电大学硕士生，主要研究方向为无线通信、非正交多址接入等
杨绿溪（1964− ），男，安徽桐城人，博士，东南大学教授、博士生导师，主要研究方向为无线通信中的信号处理、MIMO通信、智能无线通信和统计信号处理等
基金资助:
重点国际合作基金资助项目(61720106003);国家自然科学基金资助项目(61971128);南京邮电大学引进人才科研启动基金资助项目(NY220111);南京邮电大学校级自然科学基金资助项目(NY222114);江苏省研究生科研与实践创新计划基金资助项目(KYCX20_0724)

Outage performance analysis of IRS-aided cognitive satellite-terrestrial network

Min LIN¹, Huaibo GUO¹, Xiaoyu LIU¹, Lue HAN¹, Miaomiao TAN¹, Lyuxi YANG²

¹ School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
² School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Revised:2023-06-29 Online:2023-07-01 Published:2023-07-01
Supported by:
The Key International Cooperation Research Project(61720106003);The National Natural Science Foundation of China(61971128);Talent Research Start-up Foundation of Nanjing University of Posts and Telecommunications(NY220111);The Natural Science Foundation of Nanjing University of Posts and Telecommunications(NY222114);The Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX20_0724)

摘要/Abstract

摘要：

摘要：分析了智能反射面（IRS）辅助的星地融合认知网络系统的中断性能。首先，针对卫星采用点波束技术服务地球站，而基站通过智能反射面扩大通信范围，并采用非正交多址接入（NOMA）技术服务多用户场景，在系统采用认知无线电技术来实现卫星主网络与地面次级网络之间频谱共享的情况下，建立以地面用户平均信干噪比最大化为目标的优化问题；其次，基于角度域的信道状态信息提出了一种低复杂度的IRS相移设计方案，从而得到智能反射面相移矩阵；接着，分别推导出地面用户在固定和移动2种情况下的中断概率闭合表达式。为了进一步分析系统性能，推导了高信噪比条件下系统的中断概率近似表达式。最后，计算机仿真验证了中断概率表达式的正确性，并分析了主要参数对系统性能的影响。

关键词: 星地融合认知网络, 非正交多址接入, 智能反射面, 中断概率

Abstract:

The outage performance of intelligent reflecting surface (IRS) aided cognitive satellite-terrestrial network was analyzed.Firstly, for the scenario where the point beam was enabled at the satellite to serve the earth station, and the IRS and non-orthogonal multiple access (NOMA) were deployed at the base station to expand the communication range and serve multiple users, respectively, under the condition that cognitive radio technology was employed to enable spectrum sharing between the satellite primary network and the terrestrial secondary network, an optimization problem was established to maximize the average signal-to-noise ratio of terrestrial users.Secondly, a low complexity IRS phase shift design was proposed by using channel state information based on the angle domain, and the phase shift matrix of IRS was obtained.Then, the closed-form expressions of outage probabilities of terrestrial users were derived when users were static and moving, respectively.Furthermore, the asymptotic outage probability formulas at high signal-to-noise ratio were also derived to analyze the system performance.Finally, the correctness of derivation and the influence of main parameters on outage performance were verified by computer simulations.

Key words: cognitive satellite-terrestrial network, non-orthogonal multiple access, intelligent reflecting surface, outage probability

中图分类号:

TN92

林敏, 郭怀波, 刘笑宇, 韩略, 谈苗苗, 杨绿溪. IRS辅助的星地融合认知网络中断性能分析[J]. 通信学报, 2023, 44(7): 64-75.

Min LIN, Huaibo GUO, Xiaoyu LIU, Lue HAN, Miaomiao TAN, Lyuxi YANG. Outage performance analysis of IRS-aided cognitive satellite-terrestrial network[J]. Journal on Communications, 2023, 44(7): 64-75.

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IRS辅助的星地融合认知网络中断性能分析

Outage performance analysis of IRS-aided cognitive satellite-terrestrial network

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