Genetic Algorithm for CDMA-Based Mud Techniques under Rayleigh Fading Environment

Communication systems have the challenge of accommodating many users in a small area. With the advent of spread spectrum, and hence, Code Division Multiple Access (CDMA), fixed bandwidth was used to accommodate many users by making use of certain coding properties, modulation techniques and optimization algorithms. The aim of this paper is to explore the concept of Genetic Algorithm (GA) for CDMA-based Multi-User Detection (MUD) system model in multipath Rayleigh fading environment. MUD is the intelligent estimation/ demodulation of transmitted bits in the presence of Multiple Access Interference (MAI). MAI occurs in multi-access communication systems (CDMA/TDMA/FDMA), where simultaneously occurring digital streams of information interfere with each other. Compared with other algorithms, GA provides better performance, and therefore, can be believed to be the next generation algorithm for the optimization problem. The proof of the statement is explored by analyzing and comparing simulated results for different number of users, modulation techniques and spreading codes under the effect of Rayleigh fading channel. Bit Error Rate (BER) and time profile are the measures of performance in this research document