Title :
Power control using Fuzzy Genetic to enhance WCDMA capacity
Author :
Firdaus ; Astuti, Rina Pudji ; Muayyadi, Aly
Author_Institution :
Dept. of Electr. Eng., Univ. Islam Indonesia, Sleman, Indonesia
Abstract :
The capacity of WCDMA cell is impacted by interference. Power control reduce fading channels and co-channel interference. WCDMA system require quick and exactly power control. Fuzzy Genetic Algorithm (FGA) deliver the good response to the dynamic and random situations. This paper show application of FGA power control on WCDMA. FGA power control able to increase system capacity by 13.25% and can reduce the BER of the system by 13% compared to the use of fixed step power control.
Keywords :
channel capacity; cochannel interference; code division multiple access; error statistics; fading channels; fuzzy control; genetic algorithms; interference suppression; power control; BER; FGA; WCDMA cell capacity enhancement; cochannel interference reduction; dynamic situations; fading channel interference reduction; fuzzy genetic algorithm; power control; random situations; Bit error rate; Fading; Genetic algorithms; Interference; Multiaccess communication; Power control; Spread spectrum communication; Capacity; Control; Fuzzy; Genetic Algorithm; Power SIR; WCDMA;
Conference_Titel :
Communication, Networks and Satellite (COMNETSAT), 2013 IEEE International Conference on
Conference_Location :
Yogyakarta
DOI :
10.1109/COMNETSAT.2013.6870866
