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

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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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2024-09-13
DOI
https://doi.org/10.1109/jsac.2024.3460068
Citations
27
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
35.07

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article

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

Zhaoming Lu, David Gesbert, Qingqing Wu, Wenpeng Jing et al.
27 citations
IEEE Journal on Selected Areas in Communications
Satellite Communication Systems
35.07
article

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

Zhaoming Lu, David Gesbert, Qingqing Wu, Wenpeng Jing, Ziyuan Zheng, Haijun Zhang
article en
27 citations

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.

IEEE Journal on Selected Areas in CommunicationsVol. 43(1)
Beijing University of Posts and Telecommunications (CN), Shanghai Jiao Tong University (CN), EURECOM (FR), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Openalex Percentile: Top 0%
Satellite Communication Systems
35.07
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