DocumentCode :
660052
Title :
Optimal SINR-Based Coverage in Poisson Cellular Networks with Power Density Constraints
Author :
Samarasinghe, Tharaka ; Inaltekin, Hazer ; Evans, Jamie S.
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper studies coverage maximization for cellular networks in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are arbitrary. A user is covered for communication if its received signal-to-interference-plus-noise-ratio (SINR) is above a given threshold value. Two coverage models are considered. In the first model, the coverage of a user is determined based on the received SINR only from the nearest BS. The nearest BS happens to be the BS maximizing the received SINR without fading. In the second model, on the other hand, the coverage of a user is determined based on the maximum SINR from all BSs in the network. The objective is to maximize the coverage probability under the constraints on transmit power density (per unit area). Using stochastic geometry, coverage probability expressions for both coverage models are obtained. Using these expressions, bounds on the coverage maximizing power per BS and BS density are obtained. These bounds truncate the search space of the optimization problem, and thereby simplify the numerical evaluation of optimum BS power and density values considerably. All results are derived for general bounded path loss models satisfying some mild conditions. Specific applications are also illustrated to provide further insights into the optimization problem of interest.
Keywords :
cellular radio; stochastic processes; BS density; BS locations; Poisson cellular networks; arbitrary user locations; base station location; coverage maximization; coverage model; coverage probability; coverage probability expression; general bounded path loss model; homogenous spatial Poisson point process; numerical evaluation; optimal SINR-based coverage; optimum BS power value; power density constraints; received SINR; received signal-to-interference-plus-noise-ratio; second model; stochastic geometry; threshold value; transmit power density; Analytical models; Density measurement; Interference; Numerical models; Optimization; Power system measurements; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
ISSN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2013.6692332
Filename :
6692332
Link To Document :
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