Frequency Selective Fading in Wireless Communication using Genetic Algorithm

摘要

Mobile communications and wireless network have experienced massive growth and commercial success in the recent years. With the prevalence of higher bandwidth application, such as 3G, WiFi, WiMax, UWB and other such technologies, the frequency selective fading issue becomes more important for wireless network simulation. It will be of great interest to implement more functionality support for frequency selective fading using genetic algorithm. The methodology implemented involves simulating a GSM carrier frequency and bandwidth, and use pilot data to estimate the channel phase. These are simulated in MATLAB environment using genetic algorithm toolbox. The model was then integrated into image processing, which will give a better environment to simulate a wireless network model. PSK, ASK and QAM modulation models are used to test the effect of different channels to the received data. The O-MPSK schemes were compared with MPSK scheme in terms of BER fo r SNR values of 0 to 20 dB. The O - MPSK investigated include 2 . -QPSK, 4 . -8PSK, 8 . -16PSK, 16 . -32PSK and 32 . -64PSK. The results reveal that the O-MPSK schemes outperform the MPSK schemes for both MIMO -SM and MIMO-BF as the O-MPSK schemes give relatively lower mean BER compared to the MPSK schemes