摘要
合理的信道分配可以提高移动蜂窝网络的服务质量,用户高速移动以及流量突增等应用场景给移动蜂窝网络信道分配技术带来了挑战,动态信道分配算法成为当前研究的热点。基于此,首先引入用户呼叫的移动模型及其相关定义;其次建立了移动蜂窝网络信道分配环境的马尔可夫模型,使用时序差分对问题模型求解;最后通过搭建移动蜂窝网络信道分配仿真平台,在小区均匀流量和不均匀流量分布场景下对不同信道分配算法进行仿真实验。结果表明,所提算法大大降低了切换呼叫阻塞率,满足高移动高流量通信场景下的用户需求。
Reasonable channel allocation can improve the quality of service in mobile cellular networks.Scenarios such as high-speed movement of users and sudden increase of traffic have brought challenges to channel allocation technology.Dynamic channel allocation algorithm has become a hotspot of current research.To this end,the mobility model and the related definitions are firstly introduced.Secondly,the Markov model of channel allocation environment in mobile cellular networks is established,and the problem model is solved by temporal difference.Finally,by building a channel allocation simulation platform for mobile cellular networks,different channel allocation algorithms are simulated in the scenarios with uniform traffic and nonuniform traffic distributions in the cell.The results show that the proposed algorithm greatly reduces the blocking probability of the handoff calls and meets the user requirements in high-mobility and high-traffic communication scenarios.
作者
王娟
史冬阳
邵浚哲
WANG Juan;SHI Dongyang;SHAO Junzhe(College of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;Whale Cloud Technology Co.,Ltd.,Nanjing 211100,China)
出处
《移动通信》
2023年第2期77-81,共5页
Mobile Communications
基金
南京邮电大学实验室工作研究课题(2021XSG07)
江苏省研究生科研创新计划项目(KYCX17_0782)。
关键词
移动蜂窝网络
动态信道分配
强化学习
时序差分
mobile cellular network
dynamic channel allocation
reinforcement learning
temporal difference