• home
• current students
• graduate
• events

Presenter: Ali Alwalid
Supervisor: Dr. T. Aaron Gulliver

Date: Thu, November 16, 2017
Time: 13:30:00 - 14:30:00
Place: EOW 430

ABSTRACT

Spatial multiplexing (SM) multi-input multi-output (MIMO) systems can transmit independent data streams using multiple antennas to achieve high data rates. SM techniques can be employed in single-user multi-input multi-output (SU-MIMO) and multi-user multi-input multi-output (MU-MIMO) systems. There are two types of interference in SM MIMO systems, inter-antenna interference and multi-user interference (MUI). In order to improve SM MIMO system performance, channel precoding is used at the base station (BS). In this report, block diagonalization (BD) channel precoding is employed to reduce the MUI and decompose the MU-MIMO system into parallel SU-MIMO systems. Then, several detection techniques are used to detect the received signal and reduce the inter-antenna interference at each user. Simulation results are presented to evaluate and compare the bit error rate (BER) performance of SU-MIMO and MU-MIMO systems with zero-forcing (ZF), minimum mean square error (MMSE), ordered successive interference cancellation (OSIC), and maximum likelihood (ML) detection algorithms. Three modulation schemes, namely QPSK, 16 QAM and 64 QAM are considered. Further, the BER performance of MIMO systems in correlated channels is investigated using the exponential correlation model.