摘要
针对移动设备在动态环境下的同频干扰抑制问题,构建了融合时空约束的冲突干扰判定模型,系统化设计了随机指配及基于遗传算法(Genetic Algorithm,GA)和粒子群优化算法(Particle Swarm Optimization,PSO)的频率指配优化模型,并通过仿真实验对比验证了各模型在冲突抑制、频谱利用等方面的有效性。实验结果表明,PSO频率指配优化模型在冲突抑制方面表现最优,适用于高密度移动场景,而GA频率指配优化模型在中规模网络中展现出良好的平衡性与收敛性。该策略研究为工程实践中频率指配算法的应用提供了理论依据。
To address the issue of co-channel interference suppression for mobile devices in dynamic environments,a conflict interference determination model with fusion space-time constraints is constructed,an optimization model for random assignment and frequency assignment based on GA(Genetic Algorithm)and PSO(Particle Swarm Optimization)algorithm is systematically designed,and the effectiveness of each model in conflict suppression rate,spectrum utilization rate,etc.is verified through simulation experiments.The experimental results indicate that the PSO frequency assignment optimization model performs best in conflict suppression and is suitable for high-density mobile scenarios,while the GA frequency assignment optimization model demonstrates good balance and convergence in medium-scale networks.This strategy research provides a theoretical basis for the application of frequency assignment algorithms in engineering practice.
作者
王佳超
樊倩汝
周金胜
周成
李军
赵天歌
WANG Jiachao;FAN Qianru;ZHOU Jinsheng;ZHOU Cheng;LI Jun;ZHAO Tiange(Unit 93216 of PLA,Beijing 100085,China)
出处
《通信技术》
2025年第8期899-905,共7页
Communications Technology
关键词
频率指配
遗传算法
粒子群优化算法
冲突抑制
frequency assignment
genetic algorithm
particle swarm optimization algorithm
conflict suppression
