Algorithms and VLSI implementations of MIMO detection / Ibrahim A. Bello, Basel Halak.
2022
TK5103.4836
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Details
Title
Algorithms and VLSI implementations of MIMO detection / Ibrahim A. Bello, Basel Halak.
Author
ISBN
9783031045127 (electronic bk.)
3031045122 (electronic bk.)
9783031045110
3031045114
3031045122 (electronic bk.)
9783031045110
3031045114
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xxi, 150 pages) : illustrations (some color)
Item Number
10.1007/978-3-031-04512-7 doi
Call Number
TK5103.4836
Dewey Decimal Classification
621.384
Summary
This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages. Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail; Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput; Discusses design tradeoffs that will guide readers' efforts when implementing MIMO algorithms in hardware; Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.
Bibliography, etc. Note
Includes bibliographical references and index.
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 3, 2022).
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Table of Contents
Introduction
Background
MIMO Preprocessing
Sphere Decoder
K-best Detector
Conclusion and Future Directions.
Background
MIMO Preprocessing
Sphere Decoder
K-best Detector
Conclusion and Future Directions.