Satellite Resource Optimal Scheduling Based on Multi-strategy Improved Ant Colony Algorithm
LIU Licheng
FEN Jiao
LI Peng
WANG Hangxian
HU Xuefeng
Abstract：In recent years,with the increase of communication task requirements in broadband satellite systems,the resource scheduling problem such as time window conflicts has become more and more complicated,so this paper proposes an optimal re-source scheduling model for asynchronous time-division multiplexing(ATDM)forward link resources in broadband satellite commu-nication system based on multi-strategy improved ant colony algorithm(MIACO).Firstly,taking the system throughput as the opti-mization goal and the modulation coding mode,the number of multiple frames and the priority as constraints,a satellite resource scheduling model is established.Then,in order to solve the proposed model and consider the shortcomings of slow ACO conver-gence speed and easy to fall into local optimum,a MIACO based on tent mapping,ant colony factor adaptive update strategy and global pheromone update strategy is proposed.Finally,simulation experiments show that compared with GA and AGO,the proposed algorithm has strong optimization accuracy and convergence efficiency,and the scheduled business volume and system throughput of the proposed model are greatly improved.
Keywords：broadband communication satelliteATDMresource schedulingmulti-strategy improvedant colony algo-rithm
Publication Date：2025-12-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：7( 3360-3365,3483 )