Interference management via cooperative beam biasing and power control for mmWave satellite clusters. (7th April 2021)

• Record Type: Journal Article
• Authors: Zhang, Shanghong; Cui, Gaofeng; Li, Pengxu; Wang, Weidong
• Is Part Of: International journal of satellite communications and networking. Volume 39:Number 5(2021)
• Page Start: 539
• Page End: 559
• Publication Date: 2021-04-07
• Subjects: cooperative beam biasing and power control -- interference management -- PSO -- satellite cluster; Artificial satellites in telecommunication -- Periodicals; Digital communications -- Periodicals; 621.3825
• DOI: 10.1002/sat.1400
• Languages: English
• ISSNs: 1542-0973

Abstract

Summary: In order to tackle the problem of spectrum scarcity, spectrum sharing among satellite communication systems becomes a common phenomenon. Due to the spectrum sharing, mmWave satellite cluster, which is considered as a prominent part of the space information networks, may suffer severe mutual interference among inter‐satellite data links. In this paper, we firstly conduct the interference analysis for satellite clusters. Then, we formulate the interference problem as a constrained optimization problem in the performance metric of the total achievable data rate. To alleviate the interference between satellite clusters, a particle swarm optimization (PSO)‐based cooperative beam biasing and power control scheme (CBP‐PSO) from the perspectives of the joint beam domain and power domain is proposed. And the interference management problem is transformed to find the best combination of the boresight direction and transmission power based on the improved PSO algorithm. Specially, in the interference analysis and proposed scheme, different satellite cluster formations and antenna configurations are taken into account. Finally, simulation results show that the proposed CBP‐PSO scheme based on cooperative beam biasing and power control can effectively improve the achievable data rate of the interfered data links, even for the severe in‐line interference. Abstract : In this paper, we conduct the interference analysis for satellite clusters in the scenarios of spectrum sharing. To cope with the interference problem, we propose a cooperative beam biasing and power control scheme, which alleviates the interference among different data links from the perspectives of the joint beam domain and power domain. Simulation results show that the proposed CBP‐PSO scheme can effectively improve the achievable data rate of the interfered data links, even for the in‐line severe interference.