
mmWave Massive MIMO
A Paradigm for 5G
Description
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
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
Product details
- No. of pages: 372
- Language: English
- Copyright: © Academic Press 2016
- Published: November 17, 2016
- Imprint: Academic Press
- Hardcover ISBN: 9780128044186
- eBook ISBN: 9780128044780
About the Authors
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
Jonathan Rodriguez
Affiliations and Expertise
Linglong Dai
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Paul L. Wed Feb 21 2018
mmWave Massive MIMO
The text has the feel of being very much a compilation of papers that were published in the literature up until the year 2015. That being said, the papers support a structure that is both thorough and comprehensive. In doing so, the reader is presented with a text that can be read at different levels--from on-the-surface through to in-depth--thus providing access to a well-contained single source of information. Somewhat disappointingly, the book is somewhat short of practical topics and does not address issues concerned with realization and implementation. A second revision that addresses this shortcomings might readily find market prominence.