DocumentCode
113217
Title
Maximizing the Coverage-Intensity Product in random cellular networks
Author
Samarasinghe, Tharaka ; Inaltekin, Hazer ; Evans, Jamie S.
Author_Institution
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
fYear
2014
fDate
3-5 Feb. 2014
Firstpage
73
Lastpage
78
Abstract
This paper studies a cellular network in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are modeled using an arbitrary stationary homogenous point process. The objective is to maximize the Coverage-Intensity Product (CIP), which represents the average number of users covered per unit area, under constraints on transmit power, BS intensity and transmit power density (per unit area). Expressions for the CIP are obtained considering two user coverage models that differ from each other depending on the BS-user association. Using these expressions, solutions for the optimization problem are provided. All these results are presented for general bounded path loss models that satisfy some mild conditions. The results are also illustrated using a specific bounded path loss model to provide further insights.
Keywords
cellular radio; geometry; optimisation; stochastic processes; BS intensity; BS-user association; CIP; arbitrary stationary homogenous point process; base station locations; coverage-intensity product maximization; general bounded path loss models; homogenous spatial Poisson point process; optimization problem; random cellular networks; stochastic geometry; transmit power density; user coverage models; user locations; Density measurement; Interference; Modeling; Nickel; Optimization; Power system measurements; Signal to noise ratio; Cellular networks; Poisson point process; coverage-intensity product; optimization; stochastic geometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Theory Workshop (AusCTW), 2014 Australian
Conference_Location
Sydney, NSW
Type
conf
DOI
10.1109/AusCTW.2014.6766431
Filename
6766431
Link To Document