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
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