Adaptive MMSE Multiuser Detection in MIMO OFDM Wireless Communication System

Abstract

The combination of MIMO signal processing with OFDM is a solution to achieving high data rates for next generation wireless communication systems operating in frequency selective fading environments. To realize the extension of the MIMO with OFDM, a number of changes are required in the baseband signal processing. The developed adaptive Multiuser Detection in MIMO OFDM(AMUD) scheme performs better compared to non adaptive MIMO OFDM, at low Signal to noise ratio (SNR), it shows good performance in computational complexity, bit error rate (BER) and capacity. Simulation results show that the developed algorithm sum rate capacity is very close to MIMO theoretical upper bound (21.5 bits/s/Hz at signal to noise ratio of 20dB) which strongly indicate it’s applicability to the uplink channel where power transmission at the mobile station is a constraint. The BER performance of the developed scheme shows that, as the number of antenna increases, the 8 x 8 AMUD provides a 2dB gain compared to known non adaptive MIMO OFDMO at low SNR.

Performance Analysis of a Multi - user MIMO - OFDM System Based on a Hybrid Genetic Algorithm

“…The block diagram of the MIMO-OFDM MUD system is shown in Fig. 1 [12]. Assume that the L users at the transmitter and the signal, Fig.…”

“…The survival probability of the tth individual in the dth generation hybrid set is expressed as Eq. (12).…”