Metaheuristic-Based Beam Scheduling Strategies for LEO Multibeam Satellite: A Comparison

作     者：Zhang, Yingxi Jiang, Dapeng Shao, Fengwei Wu, Tong Liang, Xianling Chen, Jingfeng 

作者机构：Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China China Ship Development and Design Center Wuhan430064 China Shanghai Spacecom Satellite Technology Ltd. Shanghai200240 China State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Shanghai201100 China 

出 版 物：《IEEE Communications Letters》 (IEEE Commun Lett)

年 卷 期：2025年第29卷第6期

页      面：1166-1170页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0806[工学-冶金工程] 08[工学] 0706[理学-大气科学] 0835[工学-软件工程] 0825[工学-航空宇航科学与技术] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported in part by the National Natural Science Foundation of China under Grant 62371287 and 62001291  and in part by the Shanghai Science and Technology Innovation Action Plan under Grant 20511106605 

主　　题：Genetic algorithms 

摘      要：In this letter, the beam scheduling problem for Low Earth Orbit (LEO) multi-beam satellite systems are investigated. To fully exploit the flexibility of existing on-board phased array multi-beam antennas in the presence of non-uniform demand distribution, the beam scheduling optimization problem is formulated aiming to enhance coverage and interference mitigation performance. After the NP-hardness of the beam scheduling problem is proven, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA) methods are adopted to solve this problem. The efficiency of all proposed strategies are validated through numerical simulations, with PSO ultimately demonstrating the most favorable performance, particularly in convergence speed. © 1997-2012 IEEE.