MIMO DETECTION SCHEMES FOR WIRELESS COMMUNICATION

Abstract

Multiple Input Multiple Output (MIMO) system is one where multiple antennas are employed at transmitter side as well as receiver side in order to improve the spectral efficiency in wireless communication. Since transmitting side, receiving side and channel, all are responsible for the overall performance in MIMO technology however this thesis focus on MIMO detecting part. Based on the bit error rate, the performance of various detections schemes in Rayleigh and Rician Channel have shown. Different aspects have been considered in the evaluation of performance such as; channel characterization, signal to noise ratio, transmitter and receiver antenna number. From comparative analysis of various detection methods, it is found that Maximum Likelihood has better performance however it has complexity issues with the number of transmitting antenna increased. Hence to mitigate such a problem low complexity detection algorithms such as zero forcing, minimum mean square error detection methods along with Successive Interference Cancellation (SIC) and bell labs layered space time architecture are used to manage complexity. Among these detections algorithm, it is observed that vertical bell labs layered space time with minimum mean square error has optimal solution.