Generalized Bayesian hypothesis testing for cell coverage determination

Author

Jaimes-Romero, Fernando J. ; Munoz-Rodríguez, David

Volume

49

Issue

4

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1102

Lastpage

1109

Abstract

Determining the best base station to serve a mobile user is a key process in cellular systems. Optimal selection of a serving base station guarantees high quality calls and a minimum number of handoffs. Traditional algorithms rely on hysteresis levels to determine the serving base station when a handoff is requested. In this work, optimal hysteresis levels are generated using Bayesian hypothesis tests allowing to incorporate in the hysteresis level information such as call processing costs, mobility profiles, cell sizes and traffic unbalance. Hysteresis impact on handoff uncertainty is assessed through an entropic indicator

Keywords

Bayes methods; cellular radio; best base station; call processing costs; cell coverage determination; cell sizes; cellular systems; entropic indicator; generalized Bayesian hypothesis testing; handoff uncertainty; mobile user; mobility profiles; optimal hysteresis levels; serving base station; traffic unbalance; Base stations; Bayesian methods; Bit error rate; Cost function; Delay effects; Hysteresis; Interference; Shadow mapping; Testing; Uncertainty;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.875217

Filename

875217