基于贝叶斯决策的超密集异构网络切换研究  

Ultra-dense Heterogeneous Network Handover based on Bayesian Decision

作　　者：姚永国 舒晓锋 唐玲 欧斌 曾纪 叶荣飞 YAO Yong-guo;SHU Xiao-feng;TANG Ling;OU Bin;ZENG Ji;YE Rong-fei(Chongqing Jinmei Communication Co.Ltd.,Chongqing 400001,China)

机构地区：[1]重庆金美通信有限责任公司,重庆400001

出　　处：《通信技术》2020年第11期2733-2736,共4页Communications Technology

摘　　要：针对移动用户在超密集异构网络中切换耗时和网络选择错误的问题,提出了一种基于区域感知的贝叶斯策略。首先根据用户在超密集异构网中的位置和用户实际接收到的RSS,计算用户接入区域中的各基站的概率。其次,结合最大似然估计计算移动用户在各基站覆盖下切换的概率。再次,根据贝叶斯定理计算各基站的贝叶斯概率。最后,选择贝叶斯概率最大的基站作为移动用户切换的目标基站,从而实现用户的无缝接入。仿真结果证明,提出的基于区域感知的贝叶斯切换策略能够很好地解决超密集异构网络切换时的网络选择不正确和耗时的问题。Aiming at the problem of time-consuming handover and wrong network selection of mobile users in ultra-dense heterogeneous networks,a Bayesian strategy based on area awareness is proposed.Firstly,according to the user’s location in the ultra-dense heterogeneous network and the actual RSS received by the user,the probability of each base station in the user’s receiving area is calculated.Then,based on the maximum likelihood estimation,the probability of mobile users handing over under the coverage of the base station is estimated.And then,the Bayesian probability of each base station is calculated according to Bayes’theorem.Finally,the base station with the largest Bayesian probability is selected as the target base station for mobile user handover,so as to realize seamless user access.The simulation results indicate that the proposed Bayesian handover strategy based on area awareness can well solve the problem of incorrect network selection and time-consuming during ultra-dense heterogeneous networks handover.

关 键 词：超密集异构网络 区域感知 空间信道控制 贝叶斯决策 

分 类 号：TN923[电子电信—通信与信息系统]