Bai L., Choi J. Low Complexity MIMO Detection

Springer, 2012. — 257 p. — ISBN10: 1441985824, ISBN13: 978-1441985828.In order to improve the spectral efficiency in wireless communications, multiple antennas are employed at both transmitter and receiver sides, where the resulting system is referred to as the multiple-input multiple-output (MIMO) system. In MIMO systems, it is usually required to detect signals jointly as multiple signals are transmitted through multiple signal paths between the transmitter and the receiver. This joint detection becomes the MIMO detection.
The MIMO detection can be performed by an exhaustive search method for the maximum likelihood (ML) detection. Unfortunately, although this method provides the optimal performance, it is impractical for a number of real systems since its complexity grows exponentially with the number of transmit antennas. For the case of MIMO channels in cellular systems where the transmitter is a base station and the receiver is a mobile terminal, since the receiver usually has a limited computing power for symbol detection, the use of ML detection based on an exhaustive search or those with high computational complexity becomes impossible. To avoid this prohibitively high computational complexity, computationally efficient suboptimal MIMO detection methods are investigated, including linear detectors that take the signals from the other antennas as the interference; but, poor performance is expected due to a high date error rate. Therefore, it is desired to develop MIMO detection methods that have near optimal performance as well as low computational complexity. In this book, we attempt to explain such low complexity MIMO detectors.
So far, there are many existing books related to MIMO systems. To be different from those books, our book focuses on low complexity MIMO symbol detection itself. Although our book is very specific, we have adopted an easy-to-follow presentation from the elementary to the profound level. Furthermore, we include a number of recent research outcomes that are also useful for those experts in this area.
Our group has worked on the design of low complexity MIMO detection for many years and has produced various new results on low complexity MIMO detection with the ideas of list decoding and lattice basis reduction. In addition, as an extension, multiuser MIMO and the corresponding strategies are also investigated. This book includes not only our research outcomes but also other recent research outcomes that could be very useful to practitioners and postgraduate students who want to learn new outcomes of low complexity MIMO detectors in the field of wireless communications.
This book systematically introduces the signal detection in MIMO systems. It has been written for the reader who wants to become an expert from a beginner in the field of MIMO detection. In addition, it is suitable for postgraduate students who have some fundamental knowledge of wireless communications, and for R&D personnel who works in MIMO area.Part I Point to Point MIMO
Background of MIMO Detection
List and Lattice Reduction-Based Methods
Partial MAP-Based Detection
Lattice Reduction-Based List Detection
Detection for Underdetermined MIMO Systems
Part II Multiuser MIMO
Selection Criteria of Single User
Selection Criteria of Multiple Users
Conclusion of the Book