Methods of signal detection are becoming an ever more vital component of wireless services, as providers lean towards using multiple antennae to compensate for limitations in the available wireless spectrum. The co-authors of this book are two of the world's leading authorities on so-called MIMO (multiple-input, multiple-output) systems, and here they share the key findings of their years of research. They detail a range of important techniques for signal detection when multiple transmitted and received signals are available. They then review and explain some conventional MIMO detection schemes, including the ML, linear, and SIC detectors, and show why these methodologies are less than optimal compared to the more versatile list decoding and lattice reduction-aided detection systems. In the second part of the book, the authors move on to discuss various user selection schemes in multiuser systems.   Its finely tuned balance of theoretical analysis and practical applications makes this book required reading for graduate students and wireless communications engineers, while its stepwise mode of presentation, from the elementary to the profound level, makes it remarkably accessible, given the complexities of the field.