Wireless resource management using genetic algorithm for mobiles equilibrium

Resource scheduling is essential in order to provide suitable signal qualit y and to achieve good channel efficiency in wireless mobile networks, A nov el algorithm is proposed for controlling the transmitter power and transmis sion rate of mobile calls cooperatively. Previous work has focused on handl ing them separately. The proposed scheme is called the genetic algorithm fo r 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 compensa te for its own path loss and interference. Thus, the MSs battery life is ex tended while simultaneously reducing the interference it generates, as seen by its neighbors. The result is that the BS will be able to handle additio nal users since it controls both transmission power and rate instead of reg ulating power only. (C) 2001 Elsevier Science B.V. All rights reserved.