Cooperative Multi-Satellite and Multi-RIS Beamforming: Enhancing LEO SatCom and Mitigating LEO-GEO Intersystem Interference

Ziyuan Zheng;Wenpeng Jing;Zhaoming Lu;Qingqing Wu;Haijun Zhang;David Gesbert
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Abstract

Satellite communication (SatCom) is regarded as a key enabler for bridging connectivity and capacity gaps in sixth-generation (6G) networks. However, the proliferation of Low Earth Orbit (LEO) satellites raises significant intersystem interference risks with Geostationary Earth Orbit (GEO) systems. This paper introduces a cooperative multi-satellite multi-reconfigurable intelligent surface (RIS) transmission framework to mitigate such interference while enhancing LEO SatCom performance. Specifically, cooperative beamforming is designed under a non-coherent cell-free paradigm, considering both adaptive and max ratio (MR) precoding, as well as statistical and two-timescale channel state information (CSI), aiming to synthesize the advantages of cell-free and RIS into SatCom in a practical way. Firstly, an alternating optimization (AO)-based design leveraging statistical CSI with adaptive precoding is proposed. Then, we propose a power allocation algorithm under MR precoding with given RIS phase shifts obtained from the former, along with a direct two-stage design bypassing prior results. Additionally, we extend derived closed-form expressions and proposed algorithms to exploit two-timescale CSI. Numerical results demonstrate the impact of intersystem interference mitigation constraints, compare the performance of proposed algorithms, draw insights into the effects of transmit power, interference threshold, and Rician factors, validate SatCom performance enhancements achieved by RISs, and discuss the advantages of multi-satellite cooperation.
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合作式多卫星和多 RIS 波束成形:增强低地轨道卫星通信并减轻低地轨道-地球同步轨道系统间干扰
卫星通信(SatCom)被认为是第六代(6G)网络中弥合连接和容量差距的关键推动者。然而,低地球轨道(LEO)卫星的扩散给地球静止轨道(GEO)系统带来了重大的系统间干扰风险。本文介绍了一种多卫星多可重构智能地面(RIS)协同传输框架,以减轻此类干扰,同时提高低轨道卫星通信性能。具体而言,在非相干无小区模式下设计协同波束形成,同时考虑自适应和最大比(MR)预编码,以及统计和双时间尺度信道状态信息(CSI),旨在将无小区和RIS的优点综合到实际的卫星通信中。首先,提出了一种利用统计CSI和自适应预编码的交替优化设计方法。然后,我们提出了一种MR预编码下的功率分配算法,该算法具有从前者获得的给定RIS相移,以及绕过先前结果的直接两级设计。此外,我们扩展了导出的封闭形式表达式并提出了利用双时间尺度CSI的算法。数值结果显示了系统间干扰缓解约束的影响,比较了所提出算法的性能,深入了解了发射功率、干扰阈值和专家因素的影响,验证了RISs实现的卫星通信性能增强,并讨论了多卫星合作的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Table of Contents IEEE Communications Society Information Corrections to “Coverage Rate Analysis for Integrated Sensing and Communication Networks” IEEE Journal on Selected Areas in Communications Publication Information Guest Editorial: Integrated Ground-Air-Space Wireless Networks for 6G Mobile—Part II
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