Fuzzy distributed power control in cellular radio network

Author

Shum, Kenneth W.

Author_Institution

Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA

Volume

1

fYear

1995

fDate

27-29 Sep 1995

Firstpage

51

Abstract

A rule-based fuzzy system is developed for distributed power control in a cellular radio network. Based on two local measurements, the power level and CIR, the mobile units independently update the power in discrete time steps, trying to maximize the lowest CIR among all users. The fuzzy system uses three fuzzy sets for power level and two for CIR, and six inference rules. Its convergence is investigated by simulation and the performance is enhanced by unsupervised training

Keywords

cellular radio; distributed control; fuzzy neural nets; knowledge based systems; land mobile radio; neural nets; power control; radio networks; radio transmitters; radiofrequency interference; telecommunication computing; telecommunication control; unsupervised learning; CIR; cellular radio network; convergence; fuzzy distributed power control; inference rules; local measurements; performance; power level; rule-based fuzzy system; simulation; unsupervised training; Base stations; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent networks; Interference; Land mobile radio cellular systems; Power control; Power measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 1995. PIMRC'95. Wireless: Merging onto the Information Superhighway., Sixth IEEE International Symposium on

Conference_Location

Toronto, Ont.

Print_ISBN

0-7803-3002-1

Type

conf

DOI

10.1109/PIMRC.1995.476402

Filename

476402