Iterative receiver design for coded MIMO systems on SC/OFDM transmission

Abstract

Recently, researches on multiple-input multiple-output (MIMO) technique deploying multiple transmit and receive antennas have abruptly emerged due to its potential to greatly improve spectral efficiency. Representatively, V-BLAST (Vertical Bell Laboratories Layered Space-Time) architecture has been widely accepted for the fourth generation mobile communications, such as IEEE 802.16e and 3GPP-LTE since it is able to exploit multiplexing gain and diversity gain proportional to the number of transmit antenna and the number of receive antenna, respectively, with ease. The MIMO systems concatenated with channel coding present considerably better error performance. In particular, space-time bit-interleaved coded modulation (ST-BICM) carries flexible rate-operability and rate-compatibility by designing in consideration of code-rate, modulation-level, and the number of transmit antenna. The receiver structure, on the other side, processing inter-transmit-antenna interference (ITAI) elimination is relatively even more complicated than the transmitter one. Iterative detection and decoding (IDD) technique has been regarded as the most favorable candidate of high performance receiver approaching matched filter bound, which is classified into sphere detection (SD) and linear minimum mean squared error (LMMSE) detection. The SD scheme based on the tree-searching algorithm achieves optimal performance with requiring high computational burden, while the LMMSE approach performing simple linear operation with a priori information fed back from channel decoder converges the matched filter bound (MFB) after several iterations. In this thesis, we considers two problems on the iterative receiver design for the coded MIMO systems. The first one is the severe performance degradation due to the imperfect channel state information (CSI) on the single-carrier (SC) transmission over block fading channels. Especially, it is emphasized that the interesting operation signal-to-noise ratio (...