OPTIMIZATION OF SELECTION COMBINING DIVERSITY USING GENETIC ALGORITHM

This paper is focused on the optimization of number of receiver elements used in the selection combining receiver diversity of the base station along with the transmitter power and baud rate. The question of how many receiver antennas to employ in a diversity system operating in slow fading is examined. Genetic Algorithm (GA) which is a part of Evolutionary computing is used for optimization. It is a directed search algorithm based on the mechanics of biological evolution. The best number of antennas required for the fixed-size antenna array to achieve good compromise between system performance and its cost is investigated