Title
Low complexity MIMO receivers [electronic resource] / Lin Bai, Jinho Choi, Quan Yu.
ISBN
9783319049847 electronic book
3319049844 electronic book
9783319049830
Published
Cham : Springer, 2014.
Language
English
Description
1 online resource (xxvi, 296 pages) : illustrations
Item Number
10.1007/978-3-319-04984-7 doi
Call Number
TK5103.4836
Dewey Decimal Classification
621.382
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed March 17, 2014).
Description based on print version record.
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.
