超密集网络中基于博弈论的频谱分配策略研究  

Research on Spectrum Allocation Strategy Based on Game Theory in Ultra Dense Network

作　　者：韩志豪 赵东来[1] 王钢[1] HAN Zhihao;ZHAO Donglai;WANG Gang(Institute of Communication Technology,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学通信技术研究所,黑龙江哈尔滨150001

出　　处：《无线电工程》2021年第1期19-24,共6页Radio Engineering

基　　金：国家自然科学基金资助项目(61671184)。

摘　　要：超密集网络(Ultra-Dense Network,UDN)作为5G的关键技术之一,密集分布的小基站带来了系统容量和传输速率的提升,已成为近年的研究热点。针对UDN中严重的同层与跨层干扰问题,将博弈论应用到频谱分配中,求解相关均衡得到优化的频谱分配策略。使用Matlab对基于博弈论的频谱分配策略(SAGT)、对图论着色算法(GCA)和频谱随机分配算法(RSA)的性能进行了仿真。仿真结果验证了SAGT的性能,表明SAGT可以在有限的频谱资源下能有效地提高频谱的利用率。As one of the key technologies of 5G,ultra-dense network(UDN),the densely distributed small base stations has brought about an increase in system capacity and transmission rate,and has become a research focus in recent years.In order to deal with the severe co-layer and cross-layer interference caused by UDN,the game theory is applied to spectrum allocation,and the correlated equilibrium is solved to obtain a spectrum allocation strategy with less interference.Matlab is used to simulate the performance of spectrum allocation algorithm based on game theory(SAGT),graph coloring algorithm(GCA)and spectrum random allocation algorithm(RSA).The performance of SAGT is verified by the simulation results,which indicating that SAGT can effectively improve the spectrum utilization rate under limited spectrum resources.

关 键 词：超密集网络 博弈论 频谱分配 相关均衡 

分 类 号：TN925.5[电子电信—通信与信息系统]