Stochastic Geometry Analysis of the Energy Efficiency of Downlink MIMO Cellular Networks

Author

Peng Guan ; Di Renzo, Marco

Author_Institution

Lab. of Signals & Syst., Univ. of Paris-Sud XI (UPS-XI), Gif-sur-Yvette, France

fYear

2015

fDate

11-14 May 2015

Firstpage

1

Lastpage

5

Abstract

In this paper, an approximation to the mathematical evaluation of the spectral and energy efficiency of multi-antenna downlink cellular networks is introduced. The locations of the Base Stations (BSs) are modeled as points of a Poisson Point Process (PPP) and stochastic geometry is used for system-level performance assessment. The approximation is applicable to spatial multiplexing Multiple-Input-Multiple-Output (MIMO) systems having an arbitrary number of antennas at the transmitter (Nt) and at the receiver (Nr). A Rayleigh fading channel model is assumed. The accuracy of the proposed approximation is substantiated with the aid of Monte Carlo simulations.

Keywords

MIMO communication; Monte Carlo methods; Rayleigh channels; antenna arrays; cellular radio; energy conservation; geometry; receiving antennas; space division multiplexing; stochastic processes; telecommunication power management; transmitting antennas; BS; Monte Carlo simulation; PPP; Poisson point process; Rayleigh fading channel model; base stations; energy efficiency mathematical evaluation; multiantenna downlink MIMO cellular network; receiver antenna; spatial multiplexing multiple input multiple output system; spectral efficiency mathematical evaluation; stochastic geometry analysis; transmitter antenna; Approximation methods; Fading; Geometry; Interference; MIMO; Nickel; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st

Conference_Location

Glasgow

Type

conf

DOI

10.1109/VTCSpring.2015.7146109

Filename

7146109