首页|智能反射面辅助的星地认知网络多播传输鲁棒优化设计

智能反射面辅助的星地认知网络多播传输鲁棒优化设计

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
针对智能反射面(Intelligent reflecting surface,IRS)辅助的星地认知网络(Cognitive satellite and terrestrial networks,CSTN),提出了一种基于用户非完美信道状态信息的鲁棒多播传输算法,进一步提高了系统频谱效率.卫星采用多播技术服务多个主用户,同时共享频谱资源的地面基站(Base station,BS)通过空分多址和智能反射面分别服务直达用户和遮挡用户.然后,以地面网络发射功率最小化为优化目标,同时将地面用户的中断概率和主用户所受的最大干扰功率作为约束条件,提出联合优化问题.针对此非凸问题,首先借助指数分布的累积分布函数将非凸的中断概率约束转化为可解形式.接着,提出了一种结合交替优化与半正定松弛的鲁棒波束成形算法,以获得较优性能的解.计算机仿真结果证明了所提算法的鲁棒性和优越性.
Robust Optimization Design for Multicast Transmission in IRS-Aided Cognitive Satellite and Terrestrial Network
To improve spectrum efficiency,this paper proposes a robust multicast transmission algorithm for intelligent reflecting surface(IRS)aided cognitive satellite and terrestrial network(CSTN).Specifically,the satellite uses multicast technology to serve multiple primary users,while the terrestrial base station(BS),sharing spectrum resources with the satellite network,serves direct users and blocked users through space division multiple access technique and intelligent reflecting surfaces,respectively.Then,a joint optimization problem is formulated to minimize the BS transmit power,while satisfying the outage constraints of both the signal-to-interference-plus-noise ratio of terrestrial users and the interference power of the primary users.To address this nonconvex problem,the nonconvex outage constraint is first transformed into a deterministic form with the assistance of the cumulative distribution function of the exponential distribution.Then,a robust beamforming algorithm combining alternating optimization with semi-positive definite relaxation is proposed to obtain a solution with better performance.Computer simulation results demonstrate the robustness and superiority of the proposed algorithm.

cognitive satellite and terrestrial network(CSTN)intelligent reflecting surface(IRS)multicast transmission,robust beamformingoutage constraint

马彪、赵柏、季铭仪、丁昌峰、林敏

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南京邮电大学通信与信息工程学院,南京 210003

星地认知网络 智能反射面 多播传输 鲁棒波束成形 中断约束

国家自然科学基金东南大学移动通信全国重点实验室开放研究基金江苏省研究生科研与实践创新计划项目南京邮电大学引进人才科研启动基金

624712552024D11KYCX24_1174NY223024

2024

10.16337/j.1004-9037.2024.05.016

数据采集与处理
中国电子学会 中国仪器仪表学会信号处理学会　中国仪器仪表学会中国物理学会微弱信号检测学会　南京航空航天大学

数据采集与处理

CSTPCD北大核心
影响因子：0.679
ISSN：1004-9037
年,卷(期)：2024.39(5)