Key Technologies for 5G Wireless Systems

【实例简介】
5G无线通信系统关键技术（剑桥大学出版社） 2017年出版 对于5G所有最新技术进行了详细说明 很全的工具书
Key Technologies for 5G Wireless Systems VINCENT W. S, WONG University of British Columbia ROBERT SCHOBER University of Erlangen-Nuremberg DERRICK WING KWAN NG University of New South Wales LI-CHUN WANG National Chiao-Tung University 即 CAMBRIDGE UNIVERSITY PRESS CAMBRIDGE UNIVERSITY PRESS University Printing House. Cambridge CB2 SBS. United Kindom One Liberty Plaza, 20h Floor New York, NY I(H0X, USA 477 williamstown Road, port Melbourne, yic 3207 australia 48424, 2nd Floor, Ansar Rod, Daryaganj. Delhi- I l4XH2, India 79 Anson Road, #o6-(/ 00, Singapore 079%M Cambridge University Press is part of the Lniversity of Cambridge It furthers the University s mission by disseminating knowledge in the pursuit of education, leaming and research at the highest international levels of excellence. www.cermbrid吧e Informtiononthistitlewww.cambridgeorg/9781107132418 10,1017③781316771655 C Cambridge University Press 2017 This puhlication is in copyright. Subjcct to sututonry exception and to the provisions of relewant collective licensing agreements no reproduction of any part may take place without the written permission of Cutmbridgre University Press. First published 2(117 Printed in the United Kingdom by TJ International Ltd. Padstow, Cornwall A catalogue recor for this pudlieafiove is aailable fromm the British Library Library of Congress Cataloging- in Pi hlicaiomz data Names: Wong, Vincent W.S., editor Title: Key technologies for 5G wireless systems/edited by Vincent W.S. Wong [and 3 other Other titles key technologies for five g wireless svstems Description: Carmbrisige: New York, NY: Cambridge Lniversity Press, 2017. Identifiers: l CCN 2016045220)1 ISBN 9781 172418 (hardback) Subjects: LCSH: Wireless communication systems, I Machine-to-machine communications. Internet of things. Classitication: LCC TKs1032K49 2(17 DDC 621.38450-dc23 LcrecordavailaBleathttps://lccnioc-gov/2016m5220) ISBN 978-1-107-17241- Hardback Cambridge University Press has no responsibility for the persistence or accuracy of URLs for extermal or third-party Internet websites referred to in this puhlication, and does not guarantee that any content on such websites is, or will remain accurate of appropriate Contents List of Contributors page xvI P reface KXI Overview of New Technolog ies for 5G Systems Vincent W S, Wong, Robert Schober, Derrick Wing Kwan Ng, and Li-Chun Wang 1.1 Introduction 1.2 Cloud Radio Access Networks 1.3 Cloud Computing and Fog Computing 1. 4 Non-orthogonal Multiple Access 1. 5 Flexible Physical Layer Design 334.467 1. 6 Massive MIMo 1. 7 Full-Duplex Communications 1. 8 Millimeter wave 1.9 Mobile Data Offloading, LTE-Unlicensed, and Smart Data Pricing 13 1. 10 IoT M2M. and D2D 1. I1 Radio Resource Management, Interference Mitigation, and Caching 6 1. 12 Energy Harvesting Communications 1. 13 Visible Light Communication 19 Acknowledgments 20 References Part I Communication Network Architectures for 5G Systems 25 Cloud Radio Access Networks for 5G Systems 27 Chih-Lin I, Jinn Huang, Xueyan Husang, Rongwved Ren, and Yami. Chen 2.1 Rethinking the Fundamentals for 5G Systems 27 2 User- Centric Networks 29 23 C-RAN Basics 29 2.3.1 C-RAN Challenges Toward SGI 30 2.4 Next Generation Fronthaul Interface (NGFI: The FH Solution for SGC-RAN 31 2. 4.1 Proof-of-Concept Development of NGFI 33 Contents 2.5 Proof-of-Concept Verification of Virtualized C-RAN 2.5.1 Data packets 37 25.2 Test Procedure 38 2.5.3 Test Results 39 2. 6 Rethinking the Protocol Stack for C-RAN 2.6.1 Motivation 40 2.6.2 Multilevel Centralized and Distributed Protocol Stack 40 2.7 Conclusion 45 Acknowledgments References Fronthaul-Aware Design for Cloud Radio Access Networks 48 Liang Liu, Wei Yu, and Osvaldo Simeone 3. 1 Introduction 48 3.2 Fronthaul-Aware Cooperative Transmission and Reception 49 3. 2.1 Uplink 51 3.2.2 Downlink 57 3.3 Fronthaul-Aware Data Link and Physical layers 61 .3. I Uplink 63 3.3.2 Downlink 69 3.4 Conclusion 73 Acknowledgments 74 References 74 Mob Edge computing 76 Ben Liang 4.1 Introduction 76 4.2 Mobile Edge Computing 77 4.3 Reference architecture 79 4.4 Benefits and Application Scenarios 80 4 4.1 User-Oriented Use cases 4. 4.2 Operator-Oriented Use Ca 81 4 5 Research challenges 82 4.5.1 Computation Offloading 82 4.5.2 Communication Access to Computational Resources 83 4.5.3 Multi-resource Schedulin 84 4.5 4 Mobility Management 85 4.5.5 Resource Allocation and Pricing 4.5.6 Network functions virtualization 86 4.5, 7 Security and Pri 86 4.5.8 Integration with Emerging Technologies 87 4.6 Conclusion 88 References Contents Decentralized Radio Resource Management for Dense Heterogeneous Wireless networks Abolfazl Mehhodniya and Fumiyuki Adach 5.1 Introduction 92 5.2 System Model 93 5.2.1 SINR Expression 5.2.2 Load and Cost Function Expressions 95 5.3 Joint BSCSA/UECSA ON/OFF Switching Scheme 96 5.3.1 StrateTy Selection and Beacon Transmission 53.2 UE AssocIation 5.3.3 Proposed Channel Segregation Algorithms 98 5.3.4 Mixed-Strategy Update 3.4 Computer Simulation 5.5 Conclusion 104 Acknowledgments 04 References 105 Part ll Physical Layer Communication Techniques 107 Non-Orthogonal Multiple Access(NOMA)for 5G Systems 109 Wei Llang, Zhiguo Ding, and H. Vincent Poor 6.1 Introduction 110 6.2 NOMA in Single-Input Single-Output(SISO)Systems 112 6.2.1 The basics of noma I12 6. 2. 2 Impact of User Pairing on NOMA 13 6.2,3 Cognitive Radio Inspired NOMA 6. 3 NOMA in MIMO Systems 120 6.3.1 System Model for MIMO-NOMA Schemes 121 6.3.2 Design of Precoding and Detection Matrices with Limited CSIT 123 6.3.3 Design of Precoding and Detection Matrices with Perfect CSIT 126 6.4 Summary and Future Directions 128 References Flexible Physical Layer Design 133 Maximilian Matthe, Martin Danneberg, Dan Zhang, and Gerhard Fettweis 7.1 Introduction 133 7. 2 Generalized Frequency Division Multiplexing 35 7.3 Software-Defined waveform 137 7. 3. 1 Time Domain Processing 138 7.3.2 Implementation Architecture 138 7.4 GFDM Receiver Design 141 74 Synchronization unit 142 7. 4.2 Channel Estimation Unit 14 74.3 MIMo-GFDM Detection Unit 145 Contents 7.5 Summary and Outlook 147 Acknowledgments 148 References 48 8 Distributed Massive MIMO in Cellular Networks 15I Michail Matthaiou and Shi Jin 8. I Introduction 15l 8. 2 Massive MIMO: Basic Principles 152 8.2.1 Uplink Downlink Channel Models 153 8.2.2F avorable Propagation 154 8.3 Performance of Linear Receivers in a Massive MIMO Uplink 154 8.4 performance of linear precoders in a massive mimo downlink 157 8. s Channel estimation in massive mimo systems 158 8.5.1 Uplink Transmission 159 8.5.2 Downlink Transmission 160 8.6 Applications of Massive MIMO Technology 161 8.6.1 Full-Duplex Relaying with Massive Antenna Arrays 161 8.6.2 Joint Wireless Information Transfer and Energy Transfer for Distributed massive mimo 163 8.7 Open Future Research Directions 167 8. 8 Conclusion l68 References 169 Full-Duplex Protocol Design for 5G Networks 172 Tanelf Ahonen and Risto wichman 9.1 Introduction 172 9. 2 Basics of Full-Duplex Systems 173 9.2.1 In-Band Full-Duplex Operation Mode 173 9.2.2 Self-Interference and Co-channel Interference 174 9.2.3 Full-Duplex Transceivers in Communication Links 175 9. 2. 4 Other Applications of Full-Duplex Transceivers 178 9.3 Design of Full-Duplex Protocols 179 9.3, 1 Challenges and Opportunities in Full-Duplex Operation 179 9.3.2 Full-Duplex Communication Scenarios in 5G Networks R 9.4 Analysis of Full-Duplex Protocols 182 9.4.1 Operation Modes in Wideband Fading Channels 182 9. 4, 2 Full- Duplex Versus Half-Duplex in Wideband Transmission 184 9.5 Conclusion 184 9.5.1 Prospective Scientific Research Directions I84 9.5.2 Full-Duplex in Commercial 5G Networks 185 R LItrtncek l86 10 Millimeter Wave Communications for 5G Networks 188 Jiho Song, Miguel R Castellanos, and David J. Lowe Contents ⅸx 10.1 Motivations and Opportunities 188 10.2 Millimeter Wave Radio Propagation 189 10. 2.1 Radio Attenuation 189 0. 2. 2. Free-Space Path LOSs 19I 10.2.3 Severe shadow 193 10.2 4 Millimeter Wave Channel model 193 10.2.5 Link Budget Analysis 194 10.3 Beamforming Architectures 195 10.3, Analog beamforming solutions 196 10.3.2 Hybrid Beamforming Solutions 200 10.3.3 Low-Resolution Receiver Architecture 20 10.4 Channel Acquisition Techniques 201 10.4.1 Subspace Sampling for Beam Alignment 202 10.4.2 Compressed Channel estimation Techniques 205 10.5 Deployment Challenges and Applications 207 10.5.1 EM Exposure at Millimeter Wave Frequencies 207 10.5.2 Heterogeneous and Small-Cell Networks 208 Acknowledgments 209 References 209 Interference Mitigation Techniques for Wireless Networks 214 Koralia N Pappi and George K, Karag annidis 1 1.1 Introduction 214 11.2 The Interference Management Challenge in the 5G vision 214 11. 2. 1 The 5G Primary Goals and Their Impact on Interference 214 1 1.2.2 Enabling Technologies for Improving Network Efficiency and Mitigating Interference 216 11.3 Improving the Cell-Edge User Experience: Coordinated Multipoint 218 I 1.3.1 Deployment Scenarios and Network Architecture 218 1 13. 2 CoMP Techniques for the Uplink 220 11.3.3 CoMP Techniques for the Downlink 221 1 1.4 Interference Alignment: Exploiting Signal Space Dimensions 223 1 1.4.1 The Concept of Linear Interference Alignment 224 L1. 4.2 The Example of the X-Channel 225 I 1. 4.3 The K-User Interference Channel and Cellular Networks Asymptotic Interference Alignment 226 11.4.4 Cooperative Interferenee Networks 227 11.4.5 Insight from IA into the Capacity Limits of Wireless Networks 227 11.5 Compute-and-Forward Protocol: Cooperation at the Receiver Side for the Uplink 228 11.5.1 Encoding and Decoding of the CoF Protocol 228 11.5.2 Achievable-Rate Region and Integer Equation Selection 230 11.5.3 Advantages and Challenges of the CoF Protocol 232 IL6 Conclusion 233 References 233 【实例截图】
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