Iterative MIMO Signal Detection with Inter-Cell Interference Cancellation for Downlink Transmission in Coded OFDM Cellular Systems

MIMO/OFDM is receiving considerable attention for next generation mobile radio communication systems. These systems require improved throughput performance to users at cell-edges. In our previous study, we introduced an enhancement of MLD (Maximum Likelihood signal Detection) algorithm, in which desired and interference signals are jointly detected, to improve the cell-edge throughput in the downlink of single- cell-frequency-reuse MIMO/OFDM cellular systems. In order to achieve higher cell-edge throughput in coded OFDM cellular systems, this paper proposes an iterative signal detection with ICI cancellation based on an enhancement of MAP (Maximum A posteriori Probability) algorithm in which signal path search space includes not only desired signal space but also interference signal space. Its transmission characteristics are evaluated by computer simulation and it is confirmed that the proposed iterative signal detection can achieve higher ICI cancellation and improve BLER (BLock Error Rate) and throughput performance more than the conventional MLD-based signal detection.