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Genetic Algorithm for Mobiles Equilibrium Applied to Video Traffic
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Genetic Algorithm for Mobiles Equilibrium Applied to Video Traffic
Mohamed Moustafa5 , Ibrahim Habib5 and Mahmoud Naghshineh6 
| (5) |
Electrical Engineering Department, The City College of the City University of New York, Convent Av. & 138th. St, 10031 New York, NY |
| (6) |
IBM T.J. Watson Research Center, 30 Saw Mill River Rd, 10532 Hawthorne, NY |
Abstract
In a CDMA network, resource allocation is critical in order to provide suitable signal quality for each user and achieve channel
efficiency. The third-generation mobile communication systems (ITU/IMT-2000) must be designed to support wideband services
at bit rates as high as 2 Mbps, with the same quality as fixed networks. Mobiles transmitted power has to be controlled to
provide each user a reasonable connection while limiting the interference seen by other users. Transmitted rate has also to
be controlled to avoid congestion. An adaptive protocol is proposed for controlling mobile calls transmitter power and rate
cooperatively when previous work has focused on handling them separately. 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. A significant enhancement in signal quality and power level has been noticed through several experiments.
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