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Sixth IEEE Symposium on Computers and Communications (ISCC'01)
Wireless Resource Management Using Genetic Algorithm for Mobiles Equilibrium
Hammamet, Tunisia
July 03-July 05
ISBN: 0-7695-1177-5
ASCII Text
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Mohamed Moustafa, Ibrahim Habib, Mahmoud Naghshineh, "Wireless Resource Management Using Genetic Algorithm for Mobiles Equilibrium," Computers and Communications, IEEE Symposium on, pp. 0586, Sixth IEEE Symposium on Computers and Communications (ISCC'01), 2001.
 
 
BibTex
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@article{ 10.1109/ISCC.2001.935434,
author = {Mohamed Moustafa and Ibrahim Habib and Mahmoud Naghshineh},
title = {Wireless Resource Management Using Genetic Algorithm for Mobiles Equilibrium},
journal ={Computers and Communications, IEEE Symposium on},
volume = {0},
year = {2001},
isbn = {0-7695-1177-5},
pages = {0586},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISCC.2001.935434},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computers and Communications, IEEE Symposium on
TI - Wireless Resource Management Using Genetic Algorithm for Mobiles Equilibrium
SN - 0-7695-1177-5
SP
EP
A1 - Mohamed Moustafa,
A1 - Ibrahim Habib,
A1 - Mahmoud Naghshineh,
PY - 2001
VL - 0
JA - Computers and Communications, IEEE Symposium on
ER -
 
Mohamed Moustafa, The City University of New York
Ibrahim Habib, The City University of New York
Mahmoud Naghshineh, IBM Watson Research Center
Abstract: We propose an algorithm 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 can 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 preserved 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.
Citation:
Mohamed Moustafa, Ibrahim Habib, Mahmoud Naghshineh, "Wireless Resource Management Using Genetic Algorithm for Mobiles Equilibrium," iscc, pp.0586, Sixth IEEE Symposium on Computers and Communications (ISCC'01), 2001
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