DocumentCode
1742618
Title
Genetic algorithm for mobiles equilibrium
Author
Moustafa, Marwa ; Naghshineh, M.
Author_Institution
Dept. of Electr. Eng., City Coll. of New York, NY
Volume
1
fYear
2000
fDate
2000
Firstpage
70
Abstract
An adaptive algorithm is proposed for controlling mobile users transmitter power and information bit rate cooperatively in CDMA networks. The active component of this scheme is called genetic algorithm for mobiles equilibrium (GAME). Based on an evolutionary computational model, the base station tries to achieve an adequate equilibrium between its users. Thereof, each mobile call send its traffic with a suitable power to support it over the different path losses and interference. In the mean time, its battery life is being presented while limiting the interference seen by neighbors. This optimization is based on each user traffic, required signal quality, the channel characteristics and users spatial distribution. A significant enhancement in signal quality and power level has been noticed through several experiments
Keywords
adaptive control; code division multiple access; genetic algorithms; land mobile radio; multiuser channels; power control; radio networks; radio transmitters; radiofrequency interference; telecommunication control; CDMA networks; GAME; adaptive algorithm; base station; battery life; channel characteristics; evolutionary computational model; genetic algorithm for mobiles equilibrium; information bit rate control; interference; mobile call; optimization; path losses; signal quality; transmitter power control; user traffic; users spatial distribution; Adaptive algorithm; Base stations; Bit rate; Computational modeling; Genetic algorithms; Interference; Multiaccess communication; Telecommunication traffic; Traffic control; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
MILCOM 2000. 21st Century Military Communications Conference Proceedings
Conference_Location
Los Angeles, CA
Print_ISBN
0-7803-6521-6
Type
conf
DOI
10.1109/MILCOM.2000.904915
Filename
904915
Link To Document