Multiple-input multiple-output (MIMO) systems can increase the spectral
efficiency in wireless communications. However, the interference becomes
the major drawback that leads to high computational complexity at both
transmitter and receiver. In particular, the complexity of MIMO
receivers can be prohibitively high. As an efficient mathematical tool
to devise low complexity approaches that mitigate the interference in
MIMO systems, lattice reduction (LR) has been widely studied and
employed over the last decade. The co-authors of this book are world's
leading experts on MIMO receivers, and here they share the key findings
of their research over years. They detail a range of key techniques for
receiver design as multiple transmitted and received signals are
available. The authors first introduce the principle of signal detection
and the LR in mathematical aspects. They then move on to discuss the use
of LR in low complexity MIMO receiver design with respect to different
aspects, including uncoded MIMO detection, MIMO iterative receivers,
receivers in multiuser scenarios, and multicell MIMO systems.