动态超密集网络中的Markov预测切换  

Markov prediction based handover in dynamic ultra dense network

作　　者：孟庆民[1] 赵媛媛 岳文静[1] 邹玉龙[1] 王小明[1] MENG Qingmin;ZHAO Yuanyuan;YUE Wenjing;ZOU Yulong;WANG Xiaoming(College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京210003

出　　处：《通信学报》2018年第10期166-174,共9页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61522109;No.61501253;No.61801240);江苏省自然科学基金资助项目(No.15KJA510003;No.BK20151506)~~

摘　　要：针对超密集蜂窝网络中大规模机器类通信所涉及的通信与计算问题,提出了一种基于Markov预测的切换方案。首先考虑半结构化的中心控制的异构网络设计,该设计中含有密集部署的虚拟节点,以实现低成本和高效率的覆盖。该网络可以根据用户的移动性及网络通信量动态调整接入点。其次构建Markov模型,引入负载感知思想,通过权衡信号质量与小区负载,有效地预测用户的下一个最优接入点。仿真实验结果证明了该方案用于小区切换预测的可行性与有效性。In order to solve the problem of the communication and computational problems of large-scale machine communication in an ultra-dense cellular network,a Markov prediction based handover scheme(MPHS)was proposed.Firstly,a kind of heterogeneous network design with semi-structure and central control was considered which contains the densely deployed virtual nodes and thus realized a low cost and efficient coverage.The network can dynamically adjust the access point according to the user's mobility and network traffic.Secondly,a Markov model was constructed,and the idea of load-aware was introduced.By weighing the signal quality and the cell load,the user's next optimal access point was effectively predicted.The simulation results show the feasibility and effectiveness of the proposed scheme for cell handover predicting.

关 键 词：超密集蜂窝网络 大规模机器类通信 MARKOV模型 负载感知 切换 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]