Real Domain Iterative K-Best Detector
The chapter begins with a description of K-Best detector for real domain. As shown in ( 2.3 ), the real domain tree search is twice as deep resulting in larger latency in terms of hardware implementation. Hence, for the real domain, the number of the poss
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est Decoders for 5G+ Wireless Communication
K-Best Decoders for 5G+ Wireless Communication
Mehnaz Rahman • Gwan S. Choi
K-Best Decoders for 5G+ Wireless Communication
Mehnaz Rahman Department of Electrical and Computer Engineering Texas A&M University College Station, TX, USA
Gwan S. Choi Department of Electrical and Computer Engineering Texas A&M University College Station, TX, USA
ISBN 978-3-319-42808-6 ISBN 978-3-319-42809-3 DOI 10.1007/978-3-319-42809-3
(eBook)
Library of Congress Control Number: 2016945170 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To My Parents.
Preface
The demand for wireless and high-rate communication system is increasing gradually, and multiple input multiple-output (MIMO) is one of the feasible solutions to accommodate the growing demand for its spatial multiplexing and diversity gain. However, with high number of antennas, the computational and hardware complexity of MIMO increases exponentially. This accumulating complexity is a paramount problem in MIMO detection system, directly leading to large power consumption. Hence, the major focus of this book is algorithmic and hardware development of MIMO decoder with reduced complexity for both real and complex domain, which can be a beneficial solution with power efficiency and high throughput. Both hard and soft domain MIMO detectors are considered. The use of lattice reduction (LR) algorithm and on-demand child expansion for the reduction of noise propagation and node calculation, respectively, are two of the key features of our developed architecture, presented in this literature. The real domain iterative soft MIMO decoding algorithm, simulated for 4 ´ 4 MIMO with a different modulation scheme, achieves 1.1–2.7 dB improvement over Least Sphere Decoder (LSD) and more than 8× red
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