MMSE-OSIC² Signal Detection for Spatially Multiplexed MIMO Systems

• Published in: VTC Spring 2008 - IEEE Vehicular Technology Conference pp. 1468 - 1472
• Main Authors: Tae-Ho Im, Jaekwon Kim, Joo-Hyun Yi, Sangboh Yun, Yong-Soo Cho
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-05-2008
• Subjects: Computational complexity; Computer simulation; Demultiplexing; Diversity methods; Interference cancellation; Maximum likelihood decoding; MIMO; Samarium; Signal detection; Transmitting antennas
• ISBN: 1424416442; 9781424416448
• ISSN: 1550-2252
• DOI: 10.1109/VETECS.2008.345

In spatially multiplexed MIMO systems that enable high-data-rate transmission over wireless communication channels, spatial demultiplexing at the receiver is a challenging task. Thus, various demultiplexing methods have been developed by many researchers. In this paper, a novel signal detection method that achieves near-ML performance in a computationally efficient manner is proposed. The proposed method is based on the well-known minimum mean squared error (MMSE) ordered successive interference cancellation (OSIC) method. However, unlike the conventional MMSE-OSIC, a number of candidates are selected at each layer, hence, it has been termed MMSE-OSIC with candidates (MMSE-OSIC 2 ). In this study, it is demonstrated via a series of computer simulations that the MMSE-OSIC 2 achieves near-ML performance while requiring a complexity comparable to that of the conventional MMSE- OSIC. Also shown here is that the log likelihood ratio (LLR) values are successfully generated via the proposed method.