mmWave Massive MIMO - 1st Edition - ISBN: 9780128044186, 9780128044780

mmWave Massive MIMO

1st Edition

A Paradigm for 5G

Authors: Shahid Mumtaz Jonathan Rodriguez Linglong Dai
eBook ISBN: 9780128044780
Hardcover ISBN: 9780128044186
Imprint: Academic Press
Published Date: 17th November 2016
Page Count: 372
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Description

mmWave Massive MIMO: A Paradigm for 5G is the first book of its kind to hinge together related discussions on mmWave and Massive MIMO under the umbrella of 5G networks. New networking scenarios are identified, along with fundamental design requirements for mmWave Massive MIMO networks from an architectural and practical perspective.

Working towards final deployment, this book updates the research community on the current mmWave Massive MIMO roadmap, taking into account the future emerging technologies emanating from 3GPP/IEEE. The book's editors draw on their vast experience in international research on the forefront of the mmWave Massive MIMO research arena and standardization.

This book aims to talk openly about the topic, and will serve as a useful reference not only for postgraduates students to learn more on this evolving field, but also as inspiration for mobile communication researchers who want to make further innovative strides in the field to mark their legacy in the 5G arena.

Key Features

  • Contains tutorials on the basics of mmWave and Massive MIMO
  • Identifies new 5G networking scenarios, along with design requirements from an architectural and practical perspective
  • Details the latest updates on the evolution of the mmWave Massive MIMO roadmap, considering future emerging technologies emanating from 3GPP/IEEE
  • Includes contributions from leading experts in the field in modeling and prototype design for mmWave Massive MIMO design
  • Presents an ideal reference that not only helps postgraduate students learn more in this evolving field, but also inspires mobile communication researchers towards further innovation

Readership

Industry Engineers in mobile and wireless communications and University researchers

Table of Contents

  • Preface
  • Acknowledgments
  • About the Editors
  • Chapter 1: Introduction to mmWave massive MIMO
    • Abstract
    • 1.1 Requirements of Key Capabilities for 5G
    • 1.2 5G Network Architecture Based on mmWave Massive MIMO
    • 1.3 Challenges for mmWave Massive MIMO
    • 1.4 Structure and Contributions of This Book
  • Chapter 2: SISO to mmWave massive MIMO
    • Abstract
    • 2.1 Overview of Wireless Communication Evolution
    • 2.2 The Channel Models Behind SISO, MIMO
    • 2.3 From SISO to MIMO
    • 2.4 From MIMO to mMIMO
    • 2.5 Emerging Topics in mmWave mMIMO
  • Chapter 3: Hybrid antenna array for mmWave massive MIMO
    • Abstract
    • 3.1 Introduction
    • 3.2 Massive Hybrid Array Architectures
    • 3.3 Hardware Design for Analog Subarray
    • 3.4 Smart Antenna Techniques
    • 3.5 Conclusions
  • Chapter 4: Encoding and detection in mmWave massive MIMO
    • Abstract
    • 4.1 Introduction
    • 4.2 Background
    • 4.3 System Model
    • 4.4 Multicell Uplink Communication
    • 4.5 Results
    • 4.6 Conclusion
  • Chapter 5: Precoding for mmWave massive MIMO
    • Abstract
    • 5.1 Introduction
    • 5.2 Channel Model for mmWave Massive MIMO
    • 5.3 Digital Precoding
    • 5.4 Analog Beamforming
    • 5.5 Hybrid Precoding
    • 5.6 Conclusions
  • Chapter 6: Channel estimation for mmWave massive MIMO systems
    • Abstract
    • 6.1 Introduction
    • 6.2 Preparatory Work
    • 6.3 Compressive Sensing (CS)-Based Channel Estimation Schemes
    • 6.4 Channel Estimation With One-Bit ADCs at the Receiver
    • 6.5 Parametric Channel Estimation Schemes for mmWave Massive MIMO Systems
    • 6.6 Subspace Estimation and Decomposition (SED)-Based Channel Estimation
    • 6.7 Other Channel Estimation Schemes
    • 6.8 Summary
  • Chapter 7: Channel feedback for mmWave massive MIMO
    • Abstract
    • 7.1 Introduction
    • 7.2 Channel Feedback With Compressive Sensing
    • 7.3 CSI acquisition with angular-domain beamforming
    • 7.4 Downlink precoding in FDD based on angle of arrival
    • 7.5 Summary
  • Chapter 8: mmWave massive MIMO channel modeling
    • Abstract
    • 8.1 Introduction
    • 8.2 Specific Characteristics of mmWave Massive MIMO Channels
    • 8.3 State-of-the-Art of Millimeter-Wave Massive MIMO Channel Study
    • 8.4 Conclusion
  • Chapter 9: mmWave communication enabling techniques for 5G wireless systems: A link level perspective
    • Abstract
    • 9.1 Introduction
    • 9.2 Beamforming
    • 9.3 Spatial Multiplexing
    • 9.4 Channel Estimation
    • 9.5 Waveform Design
    • 9.6 Access Strategy
    • 9.7 Conclusions
  • Chapter 10: MAC layer design for mmWave massive MIMO
    • Abstract
    • 10.1 Introduction
    • 10.2 Basic Scheduling Algorithms
    • 10.3 User Scheduling in MU-MIMO
    • 10.4 User Scheduling in Massive MIMO
    • 10.5 User Scheduling in mmWave Massive MIMO
    • 10.6 Conclusions
  • Chapter 11: Enhanced multiple-access for mmWave massive MIMO
    • Abstract
    • 11.1 Introduction
    • 11.2 Uplink Capacity Shortage of mMIMO
    • 11.3 SOMA: Novel mMIMO Uplink
    • 11.4 Sum-rate Characterization of SOMA
    • 11.5 Numerical Evaluations of SOMA
    • 11.6 Generalized SOMA
    • 11.7 Two-group GSOMA
    • 11.8 Numerical Evaluations of GSOMA
    • 11.9 Conclusions
    • Appendix
  • Chapter 12: Fronthaul design for mmWave massive MIMO
    • Abstract
    • 12.1 Introduction
    • 12.2 A Survey of Existing Fronthaul Solutions
    • 12.3 Market Requirements of mmWave Fronthaul
    • 12.4 mmWave Massive MIMO-Based Fronthaul Solution
    • 12.5 Summary
  • Chapter 13: mmWave cellular networks: Stochastic geometry modeling, analysis, and experimental validation
    • Abstract
    • 13.1 Introduction
    • 13.2 System Model
    • 13.3 Preliminaries: Analysis and Approximations of Transformations of the Path-Loss
    • 13.4 Modeling Coverage and Rate: Noise-Limited Approximation
    • 13.5 Modeling Coverage and Rate: Accurate Modeling of the Other-Cell Interference
    • 13.6 Numerical and Simulation Results
    • 13.7 Conclusion
    • Appendix
  • Index

Details

No. of pages:
372
Language:
English
Copyright:
© Academic Press 2017
Published:
Imprint:
Academic Press
eBook ISBN:
9780128044780
Hardcover ISBN:
9780128044186

About the Author

Shahid Mumtaz

Shahid Mumtaz has more than 7 years of wireless industry experience and is currently working as Senior Research Scientist and Technical Manager at Instituto de Telecomunicações Aveiro, Portugal under 4Tell group. Prior to his current position, he worked as Research Intern at Ericsson and Huawei Research Labs in 2005 at Karlskrona, Sweden. He received his MSc and PhD degrees in Electrical & Electronic Engineering from Blekinge Institute of Technology (BTH) Karlskrona, Sweden and University of Aveiro, Portugal in 2006 and 2011, respectively. Dr Shahid MSc and PhD were funded by Swedish government and FCT Portugal. He has been involved in several EC R&D Projects (5GPP-Speed-5G, CoDIV, FUTON, C2POWER, GREENET, GREEN-T, ORCALE, ROMEO, FP6, and FP7) in the field of green communication and next generation wireless systems. In EC projects, he holds the position of technical manager, where he oversees the project from a scientific and technical side, managing all details of each work packages which gives the maximum impact of the project’s results for further development of commercial solutions. He has been also involved in two Portuguese funded projects (SmartVision & Mobilia) in the area of networking coding and development of system level simulator for 5G wireless system. Dr Shahid has several years of experience in 3GPP radio systems research with experience in HSPA/LTE/LTE-A and strong track-record in relevant technology field, especially physical layer technologies, LTE cell planning and optimization, protocol stack and system architecture.

Dr Shahids research interests lie in the field of architectural enhancements to 3GPP networks (i.e., LTE-A user plan & control plan protocol stack, NAS and EPC), 5G related technologies, green communications, cognitive radio, cooperative networking, radio resource management, cross-layer design, Backhaul/fronthaul, heterogeneous networks, M2M and D2D communication, and baseband digital signal processing. Dr. Shahid has more than 60 publications in international conferences, journal papers and book chapters. He is serving as a Vice-Chair of IEEE 5G Standardization. In 2012, Shahid was awarded an "Alain Bensoussan" fellowship by the European Research Consortium for Informatics and Mathematics (ERCIM) to pursue research in communication networks for one year at the VTT Technical Research Centre of Finland. He is also an editor of three books and served as guest editor for a special issue in the IEEE Wireless Communications Magazine and IEEE Communication Magazine. Recently, he is appointed as permanent associate technical editor for IEEE Communication Magazine, IEEE Journal of IoT and Elsevier Journal of Digital Communication and Network. He has been on the technical program committee of different IEEE conferences, including Globecom, ICC, and VTC, and chaired some of their symposia. He was the workshop chair in many conferences and recipient of the 2006 IITA Scholarship, South Korea. Dr. Shahid is a Senior IEEE member.

Affiliations and Expertise

Senior Research Scientist and Technical Manager, Instituto de Telecomunicacoes Aveiro, Portugal

Jonathan Rodriguez

Jonathan Rodriguez received his Masters degree in Electronic and Electrical Engineering and Ph.D from the University of Surrey (UK), in 1998 and 2004 respectively. In 2005, he became a researcher at the Instituto de Telecomunicacoes (IT) - Portugal where he was a member of the Wireless Communications Scientific Area. In 2008, he became a Senior Researcher where he established the 4TELL Research Group (http://www.av.it.pt/4TELL/) targeting next generation mobile networks with key interests on green communications, radio resource management, security, and electronic circuit design. He has served as project coordinator for major international research projects, that includes Eureka LOOP and FP7 C2POWER, whilst serving as technical manager for FP7 COGEU and FP7 SALUS. Since 2009, he became an Invited Assistant Professor at the University of Aveiro (Portugal), and Associate in 2015. He is author of more than 300 scientific works, that includes 8 book editorials. His professional affiliations include: Senior Member of the IEEE and Chartered Engineer (CEng) since 2013, and Fellow of the IET (2015).

Affiliations and Expertise

Senior Researcher, Instituto de Telecomunicacoes, Portugal

Linglong Dai

Dr. Linglong Dai received the B.S. degree from Zhejiang University in 2003, the M.S. degree (with the highest honor) from the China Academy of Telecommunications Technology (CATT) in 2006, and the Ph.D. degree (with the highest honor) from Tsinghua University, Beijing, China, in 2011. From 2011 to 2013, he was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, where he has been an Assistant Professor since July 2013 and then an Associate Professor since June 2016. His current research interests include massive MIMO, millimeter-wave communications, multiple access, and sparse signal processing. He has published over 50 IEEE journal papers and over 30 IEEE conference papers. He also holds 13 granted patents. Dr. Dai has received the Outstanding Ph.D. Graduate of Tsinghua University Award in 2011, the Excellent Doctoral Dissertation of Beijing Award in 2012, the IEEE ICC Best Paper Award in 2013, the National Excellent Doctoral Dissertation Nomination Award in 2013, the IEEE ICC Best Paper Award in 2014, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the IEEE RADIO Young Scientist Award in 2015, the URSI AP-RASC Young Scientist Award in 2016. He currently serves as an Editor of the IEEE Transactions on Communications, an Editor of the IEEE Communications Letters, a Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks), and co-chair of the IEEE Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems. He is an IEEE Senior Member. Particularly, he is dedicated to reproducible research and has made a large amount of simulation code publicly available (http://oa.ee.tsinghua.edu.cn/dailinglong/).

Affiliations and Expertise

Associate Professor, Department of Electronic Engineering, Tsinghua University, Beijing, China

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