Coverage Probability and Average Rate of Uplink Cellular Networks Based on a 3-D Model  

作　　者：PAN Ziyu ZHU Qi LIANG Guangjun HU Han 

机构地区：[1]The Key Wireless Lab of Jiangsu Province,School of Telecommunication and Information Engineering,Nanjing University of Posts and Telecommunications [2]School of Communications Engineering,Nanjing Institute of Technology

出　　处：《Chinese Journal of Electronics》2018年第5期1098-1103,共6页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61571234,No.61631020,No.61401225);National Basic Research Program of China(973 program)(No.2013CB329005);Jiangsu Graduate Innovation Project(No.KYLX15 0830)

摘　　要：Uplink cellular networks are usually modeled using simple Wyner-type cellular models where interference is simplified as a single random variable, or via 2-D Poisson point process(PPP) theory, with mobile users either scattered randomly or placed deterministically. These models are insufficient to evaluate performance in dense urban environments where a large number of small cells are installed. We take a fresh look at this problem using tools from 3-D PPP, and we develop a new general model based on 3-D space for uplink cellular networks. The main idea is modeling mobile users and small cells as two separate spatial PPPs. Under general assumptions, the uplink coverage probability can be easily evaluated through fast integral calculation. We compare our model to the traditional 2-D model and actual mobile user/small cell deployment, and we observe that the proposed model is more accurate and provides a closer bound of coverage probability.Uplink cellular networks are usually modeled using simple Wyner-type cellular models where interference is simplified as a single random variable, or via 2-D Poisson point process（PPP） theory, with mobile users either scattered randomly or placed deterministically. These models are insufficient to evaluate performance in dense urban environments where a large number of small cells are installed. We take a fresh look at this problem using tools from 3-D PPP, and we develop a new general model based on 3-D space for uplink cellular networks. The main idea is modeling mobile users and small cells as two separate spatial PPPs. Under general assumptions, the uplink coverage probability can be easily evaluated through fast integral calculation. We compare our model to the traditional 2-D model and actual mobile user/small cell deployment, and we observe that the proposed model is more accurate and provides a closer bound of coverage probability.

关 键 词：Uplink cellular networks Coverage probability Poisson point process 3-D space 

分 类 号：TN929.5[电子电信—通信与信息系统]