基于Stackelberg博弈的双目标WOA频谱共享算法  

Dual-target WOA spectrum sharing algorithm based on Stackelberg game

作　　者：张力[1] 廖天 何业军[1] ZHANG Li;LIAO Tian;HE Yejun(College of Electronics and Information Engineering,Shenzhen University,Shenzhen 518060,China)

机构地区：[1]深圳大学电子与信息工程学院,广东深圳518060

出　　处：《通信学报》2020年第9期170-178,共9页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61372077);深圳市基础研究基金资助项目(No.JCYJ20170302150411789,No.GJHZ20180418190529516,No.JSGG20180507183215520)。

摘　　要：为解决复杂的频谱分配问题,引入具有较强并行计算能力的双目标鲸鱼优化算法(WOA),提出一种可以有效反映实际频谱需求的Stackelberg博弈,设计一种双目标WOA优化的分布式天线系统(DAS)频谱共享调度算法。仿真结果表明,从最优价格、用户收益等多个指标进行性能对比,所提算法具有较好的频谱共享分配效果,能实现公平有效的频谱分配,为未来通信网络频谱共享模式提供了重要参考。In order to solve the complex spectrum allocation problem,a dual-target whale optimization algorithm(WOA)with strong parallel computing capabilities was introduced,and a Stackelberg game model was proposed that could effectively reflect the actual spectrum requirements,and a dual-target WOA optimized distributed antenna system(DAS)spectrum sharing scheduling algorithm was designed.Simulation results show that performance comparison is performed from multiple indicators such as optimal pricing and user benefits.The proposed algorithm has a good spectrum sharing allocation effect,can achieve fair and effective spectrum allocation,and provides an important reference for the future communication network spectrum sharing mode.

关 键 词：博弈理论 双目标WOA STACKELBERG博弈 频谱共享 

分 类 号：TN925[电子电信—通信与信息系统]