Title :
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
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;
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
DOI :
10.1109/PIMRC.1995.476402
