Multi-rate power control of CDMA cellular system using genetic algorithm

For a given channel allocation, the capacity and quality of communications of cellular radio systems using CDMA can be increased by using transmitter power control scheme to combat the near-far problem. In this work, we present an approach to the modeling and controlling methodology to enhance performance of cellular networks using genetic algorithm. We modeled and solved problem by combining the power control with transmission rate adjustment and calldrop, which is appropriate for the capacity optimization of the next generation CDMA capacity. The formulated problem has the nature of NP hard problem, which is known as difficult to solve by using conventional optimization methods. Genetic algorithm approximately mimics natural evolution. It performs a multidirectional search by maintaining a population of potential solutions and by combining elements of directed and stochastic search. Here, we propose to apply genetic algorithm to solve the formulated problem utilizing the problem specific knowledge of the system. The simulation results illustrate the effectiveness and validity of our approach.