DocumentCode :
3433384
Title :
Average SIR estimation in cellular networks with best server policy
Author :
Minelli, Mattia ; Coupechoux, Marceau ; Kelif, Jean-Marc
Author_Institution :
CNRS LTCI, Telecom ParisTech, Paris, France
fYear :
2010
fDate :
20-22 Oct. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The evaluation of the Signal to Interference Ratio (SIR) in cellular networks is of primary importance for network dimensioning. For static studies, which evaluate cell capacity and coverage, as well as for dynamic studies, which consider arrivals and departures of mobile stations (MS), the SIR is always an important input. Contrary to most of the analytical works evaluating SIR, we assume in this paper that the MS is attached to the best server, i.e., to the base station (BS) from which it receives the highest power. This is a policy that is more realistic than the classical assumption that considers MSs to be attached to the nearest BS. The exact formulation of the SIR is however in this case uneasy to handle and numerical methods remain heavy. In this paper, we thus propose an approximate analytical study based on truncated lognormal distributions that provides very close results to Monte Carlo simulations.
Keywords :
Monte Carlo methods; cellular radio; log normal distribution; mobile communication; Monte Carlo simulation; average SIR estimation; cellular networks; mobile stations; signal to interference ratio; truncated lognormal distributions; Approximation methods; Interference; Land mobile radio cellular systems; Monte Carlo methods; Servers; Shadow mapping; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Days (WD), 2010 IFIP
Conference_Location :
Venice
ISSN :
2156-9711
Print_ISBN :
978-1-4244-9230-5
Electronic_ISBN :
2156-9711
Type :
conf
DOI :
10.1109/WD.2010.5657745
Filename :
5657745
Link To Document :
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