计算机应用研究2017，Vol.34Issue(7)：1953-1956,4.DOI:10.3969/j.issn.1001-3695.2017.07.007
基于局部信息交互的博弈学习算法
Game learning algorithm based on local information exchange
摘要
Abstract
Spectral heterogeneous is one of the most important characteristics in 5G communication system.To achieve the optimal match between resource allocation and resource demand,this paper focused on the heterogeneous channel selection problem for 5G small cells.The traditional centralized optimization scheme deserved high system efficiency but also high overhead,while the traditional distributed optimization scheme had low overhead but also low system efficiency.To achieve the optimal tradeoff between system efficiency and optimization overhead,this paper formulated the problem as a local cooperation game,proposed the game learning algorithm based on the local information exchange,and realized the optimal resource allocation strategy in a distributed manner.Simulation results validate the optimality,convergence and stability of the proposed algorithm.关键词
势能博弈/纳什均衡/局部合作/博弈学习Key words
potential game/Nash equilibrium/local cooperation/game learning分类
信息技术与安全科学引用本文复制引用
殷文龙,姚昌华..基于局部信息交互的博弈学习算法[J].计算机应用研究,2017,34(7):1953-1956,4.基金项目
国家自然科学基金面上资助项目(61172062) （61172062）
江苏省自然科学基金面上资助项目(BK2011116) （BK2011116）
