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Cooperative Communication Resources Scheduling of Satellite Network Using a Mixed Vector Encoding Heuristic Algorithm

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Název: Cooperative Communication Resources Scheduling of Satellite Network Using a Mixed Vector Encoding Heuristic Algorithm
Autoři: Jiaxuan Xie, Linling Kuang, Shan Gao
Zdroj: Intelligent and Converged Networks, Vol 6, Iss 2, Pp 129-140 (2025)
Informace o vydavateli: Institute of Electrical and Electronics Engineers (IEEE), 2025.
Rok vydání: 2025
Témata: satellite network, resources scheduling, Telecommunication, heuristic algorithm, TK5101-6720
Popis: The communication resources scheduling problem of the satellite network contains the user-satellite association problem, the user-beam matching problem, and the beam power allocation problem. Different optimization problems contain different types of variables. Mult-type variables and three coupling problems cause the cooperative scheduling problem to be complex. In this paper, we propose a mixed vector encoding heuristic algorithm (MVEHA) to optimize the joint resources allocation problem of the multiple beams satellite network. Specifically, we use the 0-1 encoding vector to represent the user-satellite association scheme, the user-beam matching scheme is denoted by the continuous vector with priority, and a normalization vector is designed to encoded the beam power allocation scheme. Due to the mixed vector encoding method, we design two optimization operators to guide the search direction of the population. Compared to the conventional optimization algorithm, the simulation experiment shows MVEHA has better solution performance and robustness to solve the communication resources allocation problem of the satellite network.
Druh dokumentu: Article
ISSN: 2708-6240
DOI: 10.23919/icn.2025.0008
Přístupová URL adresa: https://doaj.org/article/be1f726d079f4e40856ef3c28990a5c0
Přístupové číslo: edsair.doi.dedup.....a88bb6c38a6e7099b0d4b5a7eff19c7c
Databáze: OpenAIRE
Popis
Abstrakt:The communication resources scheduling problem of the satellite network contains the user-satellite association problem, the user-beam matching problem, and the beam power allocation problem. Different optimization problems contain different types of variables. Mult-type variables and three coupling problems cause the cooperative scheduling problem to be complex. In this paper, we propose a mixed vector encoding heuristic algorithm (MVEHA) to optimize the joint resources allocation problem of the multiple beams satellite network. Specifically, we use the 0-1 encoding vector to represent the user-satellite association scheme, the user-beam matching scheme is denoted by the continuous vector with priority, and a normalization vector is designed to encoded the beam power allocation scheme. Due to the mixed vector encoding method, we design two optimization operators to guide the search direction of the population. Compared to the conventional optimization algorithm, the simulation experiment shows MVEHA has better solution performance and robustness to solve the communication resources allocation problem of the satellite network.
ISSN:27086240
DOI:10.23919/icn.2025.0008