Low complexity MIMO receivers /

Low complexity MIMO receivers /

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Bibliographic Details
Author / Creator:	Bai, Lin (Associate professor), author.
Imprint:	Cham : Springer, 2014.
Description:	1 online resource (xxvi, 296 pages) : illustrations
Language:	English
Subject:	MIMO systems. MIMO systems.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11084008

Hidden Bibliographic Details
Other authors / contributors:	Choi, Jinho, author. Yu, Quan (Engineer), author.
ISBN:	9783319049847 3319049844 3319049836 9783319049830 9783319049830
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed March 17, 2014). Print version record.
Summary:	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.
Other form:	Printed edition: 9783319049830
Standard no.:	10.1007/978-3-319-04984-7

Table of Contents:

Signal Processing at Receivers: Detection Theory
MIMO Detection: Vector Space Signal Detection
Successive Interference Cancellation Based MIMO Detection
Lattice Reduction Based MIMO Detection
MIMO Iterative Receivers
Bit-Wise MIMO-BICM-ID using Lattice Reduction
Randomized Sampling-based MIMO Iterative Receivers
Iterative Channel Estimation and Detection
Multiuser and Multicell MIMO Systems: The Use of Lattice Reduction.