实例介绍
【实例简介】
只能说是大规模MIMO技术的经典书籍,只能说你不能错过
arge MIMO Systems Large MIMo systems, with tens to hundreds of antennas, are a promising emerg ing communication technology. This book provides a unique overview of this tech nology, covering the opportunities, engineering challenges, solutions, and state of-the-art of large MIMo test beds. There is in-depth coverage of algorithms for large MIMO signal processing, based on metaheuristics, belief propagation and Monte Carlo sampling techniques, and suited for large MIMO signal de- tection, precoding, and LDPC code designs. The book also covers the training requirement and channel estimation approaches in large-scale point-to-point and multiuser MIMo systems; spatial modulation is also included. Issues like pilot contamination and base station cooperation in multicell operation are addressed a detailed exposition of MiMo channel models, large MIMo channel sound ing measurements in the past and present, and large Mimo test beds is also presented. An ideal resource for academic researchers, next generation wireless system designers and developers, and practitioners in wireless communications A. CHOCKALINGAM is a Professor in the Department of Electrical Communica- tion Engineering, Indian Institute of Science(IISc), Bangalore, India. He has made pioneering contributions in the area of low complexity near-optimal sig- nal detection in large MIMO systems. He is a recipient of the Swarnajayanti Fellowship from the Department of Science and Technology, Government of In dia, and a Fellow of the Indian National Academy of Engineering(INAE), the National Academy of Sciences, India(NASI), and the Indian National Science Academy(INSA) B. SUNDAR RAJAN is a Professor in the Department of Electrical Communica tion Engineering, Indian Institute of Science (IISc), Bangalore, India. He is a well-known authority in the area of space-time coding for MIMO channels and distributed space-time coding, and a leading expert in the design of space-time codes based on algebraic techniques. He is a recipient of the Professor Rustum Choksi Award from IISc for excellence in research in engineering, and a Fellow of the Indian National Academy of Engineering(INAE), the National Academy of Sciences, India(NASI), the Indian National Science Academy(INSA), and the Indian Academy of Sciences(IASc This cutting-edge portrayal of large-scale MIMO systems provides a shrewd long-term outlook on this salient wireless subject Lajos hanz University of southampton This is a very timely and useful book written by authors who are pioneers in the area of large MIMO systems Vijay K. bhargava The University of British Cola Large Mimo will power our wireless networks before this decade is out and the race is just starting. Chockalingam and Sundar Rajan have compiled an excellent companion for this journey. Arogyaswami Paulraj Stanford University Large MIMO Systems A CHOCKALINGAM AND B SUNDAR RAJAN Indian Institute of Science, bangalore 费 CAMBRIDGE 吸 UNIVERSITY PRESS CAMBRIDGE UNIVERSITY PRESS University Printing House, Cambridge CB2 8BS, United Kingdom Published in the United States of America by Cambridge University Press, New York Cambridge University Press is part of the University of Cambridge It furthers the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence ge. org Informationonthistitlewww.cambridge.org/9781107026650 C Cambridge University Press 2014 This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements no reproduction of any part may take place without the written permission of Cambridge University Press First published 2014 Printed in the United Kingdom by TJ International Ltd. Padstow Cornwall A catalog record for this publication is available from the British Library Library of Congress Cataloging in Publication Data Chockalingam, A, author Large MIMO systems/A Chockalingam, Indian Institute of Science, Bangalore; B. Sundar Rajan, Indian Institute of Science, Bangalore pages Cm ISBN978-1-107-02665-0( hardback) 1. MIMO systems. I. Rajan, B Sundar, author. II. Title TK5103.4836C492014 621.398dc232013041123 isbn 978-1-107-02665-0 Hardback Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referred to in this publication and does not guarantee that any content on such websites is, or will remain, accurate or appropriate To our teachers and students Contents erace page xn Acknowledgments XV Abbreviations Notation XX111 Introduction 1.1 Multiantenna wireless channels 1.2 MIMO system model 1. 3 MIMO communication with CSIR-only 1.3.1 Slow fading channels 1.3.2 Fast fading channels 1245567 1.4 MiMO communication with CSiT and CSIR 1.5 Increasing spectral efficiency: quadrature amplitude modulation QAM)VS MIMO 1.6 Multiuser Mimo communication 1.7 Organization of the book References Large MIMO systems 16 2.1 Opportunities in large MIMO systems 2.2 Channel hardening in large dimensions 2.3 Technological challenges and solution approaches 2.3.1 Availability of independent spatial dimensions 2.3.2 Placement of a large number of antennas and rf chains 20 2.3.3 Low complexity large MIMO signal processing 21 2.3.4 Multicell operation 23 References 24 MIMO encoding 25 3. 1 Spatial m multiplexing 25 3.2 Space-time coding 27 3.2.1 Space-time block codes 8 3.2.2 High-rate NO-STBCs 29 3.2.3 NO-STBCS from CDas VIll Contents 3.3 Spatial modulation (SM) 31 3.3.1SM 31 3.3.2SSK 32 3.3.3GSM References 8 MIMO detection 40 4.1 System model 43 4.2 Optimum detection 44 4.3 Linear detection 45 4.4 Interference cancelation 47 4.5 LR-aided linear detection 4.5.1 LR-aided detection 49 4.5.2SA 4.6 Sphere decoding References 59 Detection based on local search 6 5.1 LAS 5.1.1 ystem model 5.1.2 Multistage LAS algorithm 66 5.1.3 Complexity 71 5.1.4 Generation of soft outputs 5.1.5 Near-optimal performance in large dimensions 5.1.6 Decoding of large NO-STBCs using LAS 76 5. 2 Randomized search(RS 81 5.2.1 RS algorithm 81 5.2.2 Performance and complexity 5.3 Reactive tabu search(RTS) 5.3.1 RTS algorithm 87 5.3.2 RTS algorithm versus LAS algorithm 5.3.3 Performance and complexity of rts 92 5.3.4LTS 5.3.5R3TS 100 5.3.6 Lower bounds on ML performance using RTs 103 References 107 Detection based on probabilistic data association(PDA) 110 6.1 PDA in communication problems 111 6.2 Pda based mimo detection 112 6.2.1 Real-valued bit-wise system model 112 6.2.2 Iterative procedure 113 6.2.3 Complexity reduction 115 6.3 Performance results 116 【实例截图】
【核心代码】
只能说是大规模MIMO技术的经典书籍,只能说你不能错过
arge MIMO Systems Large MIMo systems, with tens to hundreds of antennas, are a promising emerg ing communication technology. This book provides a unique overview of this tech nology, covering the opportunities, engineering challenges, solutions, and state of-the-art of large MIMo test beds. There is in-depth coverage of algorithms for large MIMO signal processing, based on metaheuristics, belief propagation and Monte Carlo sampling techniques, and suited for large MIMO signal de- tection, precoding, and LDPC code designs. The book also covers the training requirement and channel estimation approaches in large-scale point-to-point and multiuser MIMo systems; spatial modulation is also included. Issues like pilot contamination and base station cooperation in multicell operation are addressed a detailed exposition of MiMo channel models, large MIMo channel sound ing measurements in the past and present, and large Mimo test beds is also presented. An ideal resource for academic researchers, next generation wireless system designers and developers, and practitioners in wireless communications A. CHOCKALINGAM is a Professor in the Department of Electrical Communica- tion Engineering, Indian Institute of Science(IISc), Bangalore, India. He has made pioneering contributions in the area of low complexity near-optimal sig- nal detection in large MIMO systems. He is a recipient of the Swarnajayanti Fellowship from the Department of Science and Technology, Government of In dia, and a Fellow of the Indian National Academy of Engineering(INAE), the National Academy of Sciences, India(NASI), and the Indian National Science Academy(INSA) B. SUNDAR RAJAN is a Professor in the Department of Electrical Communica tion Engineering, Indian Institute of Science (IISc), Bangalore, India. He is a well-known authority in the area of space-time coding for MIMO channels and distributed space-time coding, and a leading expert in the design of space-time codes based on algebraic techniques. He is a recipient of the Professor Rustum Choksi Award from IISc for excellence in research in engineering, and a Fellow of the Indian National Academy of Engineering(INAE), the National Academy of Sciences, India(NASI), the Indian National Science Academy(INSA), and the Indian Academy of Sciences(IASc This cutting-edge portrayal of large-scale MIMO systems provides a shrewd long-term outlook on this salient wireless subject Lajos hanz University of southampton This is a very timely and useful book written by authors who are pioneers in the area of large MIMO systems Vijay K. bhargava The University of British Cola Large Mimo will power our wireless networks before this decade is out and the race is just starting. Chockalingam and Sundar Rajan have compiled an excellent companion for this journey. Arogyaswami Paulraj Stanford University Large MIMO Systems A CHOCKALINGAM AND B SUNDAR RAJAN Indian Institute of Science, bangalore 费 CAMBRIDGE 吸 UNIVERSITY PRESS CAMBRIDGE UNIVERSITY PRESS University Printing House, Cambridge CB2 8BS, United Kingdom Published in the United States of America by Cambridge University Press, New York Cambridge University Press is part of the University of Cambridge It furthers the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence ge. org Informationonthistitlewww.cambridge.org/9781107026650 C Cambridge University Press 2014 This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements no reproduction of any part may take place without the written permission of Cambridge University Press First published 2014 Printed in the United Kingdom by TJ International Ltd. Padstow Cornwall A catalog record for this publication is available from the British Library Library of Congress Cataloging in Publication Data Chockalingam, A, author Large MIMO systems/A Chockalingam, Indian Institute of Science, Bangalore; B. Sundar Rajan, Indian Institute of Science, Bangalore pages Cm ISBN978-1-107-02665-0( hardback) 1. MIMO systems. I. Rajan, B Sundar, author. II. Title TK5103.4836C492014 621.398dc232013041123 isbn 978-1-107-02665-0 Hardback Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referred to in this publication and does not guarantee that any content on such websites is, or will remain, accurate or appropriate To our teachers and students Contents erace page xn Acknowledgments XV Abbreviations Notation XX111 Introduction 1.1 Multiantenna wireless channels 1.2 MIMO system model 1. 3 MIMO communication with CSIR-only 1.3.1 Slow fading channels 1.3.2 Fast fading channels 1245567 1.4 MiMO communication with CSiT and CSIR 1.5 Increasing spectral efficiency: quadrature amplitude modulation QAM)VS MIMO 1.6 Multiuser Mimo communication 1.7 Organization of the book References Large MIMO systems 16 2.1 Opportunities in large MIMO systems 2.2 Channel hardening in large dimensions 2.3 Technological challenges and solution approaches 2.3.1 Availability of independent spatial dimensions 2.3.2 Placement of a large number of antennas and rf chains 20 2.3.3 Low complexity large MIMO signal processing 21 2.3.4 Multicell operation 23 References 24 MIMO encoding 25 3. 1 Spatial m multiplexing 25 3.2 Space-time coding 27 3.2.1 Space-time block codes 8 3.2.2 High-rate NO-STBCs 29 3.2.3 NO-STBCS from CDas VIll Contents 3.3 Spatial modulation (SM) 31 3.3.1SM 31 3.3.2SSK 32 3.3.3GSM References 8 MIMO detection 40 4.1 System model 43 4.2 Optimum detection 44 4.3 Linear detection 45 4.4 Interference cancelation 47 4.5 LR-aided linear detection 4.5.1 LR-aided detection 49 4.5.2SA 4.6 Sphere decoding References 59 Detection based on local search 6 5.1 LAS 5.1.1 ystem model 5.1.2 Multistage LAS algorithm 66 5.1.3 Complexity 71 5.1.4 Generation of soft outputs 5.1.5 Near-optimal performance in large dimensions 5.1.6 Decoding of large NO-STBCs using LAS 76 5. 2 Randomized search(RS 81 5.2.1 RS algorithm 81 5.2.2 Performance and complexity 5.3 Reactive tabu search(RTS) 5.3.1 RTS algorithm 87 5.3.2 RTS algorithm versus LAS algorithm 5.3.3 Performance and complexity of rts 92 5.3.4LTS 5.3.5R3TS 100 5.3.6 Lower bounds on ML performance using RTs 103 References 107 Detection based on probabilistic data association(PDA) 110 6.1 PDA in communication problems 111 6.2 Pda based mimo detection 112 6.2.1 Real-valued bit-wise system model 112 6.2.2 Iterative procedure 113 6.2.3 Complexity reduction 115 6.3 Performance results 116 【实例截图】
【核心代码】
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