Wireless resource management using genetic algorithm for mobiles equilibrium

Abstract Resource scheduling is essential in order to provide suitable signal quality and to achieve good channel efficiency in wireless mobile networks. A novel algorithm is proposed for controlling the transmitter power and transmission rate of mobile calls cooperatively. Previous work has focused on handling them separately. The proposed scheme is called the genetic algorithm for mobiles equilibrium. Based on an evolutionary computation model, the base station (BS) tries to achieve an adequate equilibrium for its users: each mobile station (MS) can send its traffic with the minimum power to compensate for its own path loss and interference. Thus, the MSs battery life is extended while simultaneously reducing the interference it generates, as seen by its neighbors. The result is that the BS will be able to handle additional users since it controls both transmission power and rate instead of regulating power only.

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