Downlink SINR and Rate Distribution of Ultra-Dense Het Nets with Burst Traffic  

作　　者：Xin Liu Zhiwen Pan Nan Liu Xiaohu You 

机构地区：[1]National Mobile Communications Research Laboratory,Southeast University

出　　处：《China Communications》2016年第9期24-32,共9页中国通信（英文版）

基　　金：partially supported by National 863 Program(2014AA01A702);National Basic Research Program of China(973 Program 2012CB316004);National Natural Science Foundation(61271205,61221002 and 61201170)

摘　　要：SINR distribution and rate overage distribution are crucial for optimization of deployment of Ultra-dense Het Nets.Most existing literatures assume that BSs have full queues and full-buffer traffic.In fact,due to ultra-dense deployment of small cells,traffic in small cell varies dramatically in time and space domains.Hence,it is more practical to investigate scenario with burst traffic.In this paper,we consider a two-tier non-uniform ultra-dense Het Net with burst traffic,where macro BSs are located according to Poisson Point Process(PPP),and pico BSs are located according to Poisson Hole Process(PHP).The closed-form expressions of SINR distribution and rate distribution are derived,and then validated through simulation.Our study shows that different from the result of full buffer case,the SINR distribution and rate distribution of users depend on the average transmission probabilities of BSs in burst traffic case.SINR distribution and rate overage distribution are crucial for optimization of deployment of Ultra-dense HetNets. Most existing literatures assume that BSs have full queues and full-buffer traffic. In fact, due to ultra-dense deployment of small cells, traffic in small cell varies dramatically in time and space domains. Hence, it is more practical to investigate scenario with burst traffic. In this paper, we consider a two-tier non-uniform ultra-dense HetNet with burst traffic, where macro BSs are located according to Poisson Point Process （PPP）, and pico BSs are located according to Poisson Hole Process （PHP）. The closed-form expressions of SINR distribution and rate distribution are derived, and then validated through simulation. Our study shows that different from the result of full buffer case, the SINR distribution and rate distribu- tion of users depend on the average transmission probabilities of BSs in burst traffic case.

关 键 词：Ultra-dense HetNet  SINR and rate distribution stochastic geometry burst traffic non-uniform network 

分 类 号：TN915.06[电子电信—通信与信息系统]