超密集分簇网络中基于马尔可夫模型的移动性能建模与分析

Mobile Performance Modeling and Analysis Based on the Markov Process in the Ultra Dense Network

第五代移动通信(5G)系统中,大规模MIMO天线和超密集部署网络是实现高吞吐量的两种主要方法。在超密集部署网络中,将小蜂窝的基站按照地域位置和信号强度等条件进行分簇,簇内所有的小蜂窝共用同一控制平面,实现了业务和控制的分离。基于此场景,提出了基于马尔可夫模型对移动终端在超密集分簇网络下的移动状态进行建模,推导出系统吞吐量、阻塞概率等系统性能的闭式表达式。仿真结果表明超密集分簇网络可以有效地减少移动终端不必要的切换次数,并提高系统吞吐量。

In the Fifth Generation （5G） mobile communication system, massive MIMO antenna and ultra-dense deployment of the network are the two ways to achieve high throughput. The base stations in small cells are divided into clusters equally according to their location and signal strength in ultra-dense deployment of the network. All small cellulars in one cluster share the control plane. This paper presents a kind of Markova model of the mobile terminals＇ states based on the scenario and deduces the closed-form expressions of system throughput, blocking probability and so on. Simulation results demonstrate that the ultra-dense network can effectively reduce the unnecessary switching of mobile terminals, and improve the system throughput.