Signal Processing for 5G E-Book

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Serie: Wiley - IEEE
• Sprache: Englisch

Seitenzahl: 1105

Veröffentlichungsjahr: 2016

Beschreibung

A comprehensive and invaluable guide to 5G technology, implementation and practice in one single volume. For all things 5G, this book is a must-read. 

Signal processing techniques have played the most important role in wireless communications since the second generation of cellular systems. It is anticipated that new techniques employed in 5G wireless networks will not only improve peak service rates significantly, but also enhance capacity, coverage, reliability , low-latency, efficiency, flexibility, compatibility and convergence to meet the increasing demands imposed by applications such as big data, cloud service, machine-to-machine (M2M) and mission-critical communications.

This book is a comprehensive and detailed guide to all signal processing techniques employed in 5G wireless networks. Uniquely organized into four categories, New Modulation and  Coding,  New Spatial Processing, New Spectrum Opportunities and New System-level  Enabling Technologies, it covers everything from network architecture, physical-layer (down-link and up-link),  protocols and air interface, to cell acquisition, scheduling and rate adaption, access  procedures and relaying to spectrum allocations. All technology aspects and major roadmaps of global 5G standard development and deployments are included in the book.    
Key Features:

• Offers step-by-step guidance on bringing 5G technology into practice, by applying algorithms and design methodology to real-time circuit implementation, taking into account rapidly growing applications that have multi-standards and multi-systems.  
• Addresses spatial signal processing for 5G, in particular massive multiple-input multiple-output (massive-MIMO), FD-MIMO and 3D-MIMO along with orbital angular momentum multiplexing,  3D beamforming and diversity.
• Provides detailed algorithms and implementations, and compares all multicarrier modulation and multiple access schemes that offer superior data transmission performance including FBMC, GFDM, F-OFDM, UFMC, SEFDM,  FTN, MUSA, SCMA and NOMA.
• Demonstrates the translation of  signal processing theories into practical solutions  for new spectrum opportunities in terms of millimeter wave, full-duplex  transmission and license assisted access.            
• Presents well-designed implementation examples, from individual function block to system level for effective and accurate learning.    
• Covers signal processing aspects of emerging system and network architectures, including ultra-dense networks (UDN), software-defined networks (SDN), device-to-device (D2D) communications and cloud radio access network (C-RAN).

Leseprobe

Table of Contents

Cover

Title Page

Copyright

Preface

Part 1: Modulation, Coding and Waveform for 5G

Part 2: New Spatial Signal Processing for 5G

Part 3: New Spectrum Opportunities for 5G

Part 4: New System-level Enabling Technologies for 5G

Part 5: Reference Design and 5G Standard Development

For whom is this book written?

List of Contributors

Part 1: Modulation, Coding and Waveform for 5G

Chapter 1: An Introduction to Modulations and Waveforms for 5G Networks

1.1 Motivation and Background

1.2 New Modulation Formats: FBMC, GFDM, BFDM, UFMC and TFP

1.3 Waveform Choice

1.4 Discussion and Concluding Remarks

References

Chapter 2: Faster-than-Nyquist Signaling for 5G Communication

2.1 Introduction to FTN Signaling

2.2 Time FTN: Receivers and Performance

2.3 Frequency FTN Signaling

2.4 Summary of the Chapter

References

Chapter 3: From OFDM to FBMC: Principles and Comparisons

3.1 Introduction

3.2 The Filter Bank

3.3 Polyphase Implementation

3.4 OFDM

3.5 FBMC

3.6 Comparison of FBMC and Filtered OFDM

3.7 Conclusion

References

Chapter 4: Filter Bank Multicarrier for Massive MIMO

4.1 System Model and FBMC Formulation in Massive MIMO

4.2 Self-equalization Property of FBMC in Massive MIMO

4.3 Comparison with OFDM

4.4 Blind Equalization and Pilot Decontamination

4.5 Conclusion

References

Chapter 5: Bandwidth-compressed Multicarrier Communication: SEFDM

5.1 Introduction

5.2 SEFDM Fundamentals

5.3 Block-SEFDM

5.4 Turbo-SEFDM

5.5 Practical Considerations and Experimental Demonstration

5.6 Summary

References

Chapter 6: Non-orthogonal Multi-User Superposition and Shared Access

6.1 Introduction

6.2 Basic Principles and Features of Non-orthogonal Multi-user Access

6.3 Downlink Non-orthogonal Multi-user Transmission

6.4 Uplink Non-orthogonal Multi-user Access

6.5 Summary and Future Work

References

Chapter 7: Non-Orthogonal Multiple Access (NOMA): Concept and Design

7.1 Introduction

7.2 Concept

7.3 Benefits and Motivations

7.4 Interface Design

7.5 MIMO Support

7.6 Performance Evaluations

7.7 Conclusion

References

Chapter 8: Major 5G Waveform Candidates: Overview and Comparison

8.1 Why We Need New Waveforms

8.2 Major Multicarrier Modulation Candidates

8.3 High-level Comparison

8.4 Conclusion

List of acronyms

References

Part 2: New Spatial Signal Processing for 5G

Chapter 9: Massive MIMO for 5G: Theory, Implementation and Prototyping

9.1 Introduction

9.2 Massive MIMO Theory

9.3 Massive MIMO Channels

9.4 Massive MIMO Implementation

9.5 Testbed Design

9.6 Synchronization

9.7 Future Challenges and Conclusion

Acknowledgments

References

Chapter 10: Millimeter-Wave MIMO Transceivers: Theory, Design and Implementation

10.1 Introduction

10.2 Overview of Millimeter-Wave MIMO Transceiver Architectures

10.3 Point-to-Point Single-User Systems

10.4 Point-to-Multipoint Multiuser Systems

10.5 Extensions

10.6 Conclusion

References

Chapter 11: 3D Propagation Channels: Modeling and Measurements

11.1 Introduction and Motivation

11.2 Measurement Techniques

11.3 Propagation Effects

11.4 Measurement Results

11.5 Channel Models

11.6 Summary and Open Issues

Acknowledgements

Disclaimer

References

Chapter 12: 3D-MIMO with Massive Antennas: Theory, Implementation and Testing

12.1 Introduction

12.2 Application Scenarios of 3D-MIMO with Massive Antennas

12.3 Exploiting 3D-MIMO Gain Based on Techniques in Current Standards

12.4 Evaluation by System-level Simulations

12.5 Field Trials of 3D-MIMO with Massive Antennas

12.6 Achieving 3D-MIMO with Massive Antennas from Theory to Practice

12.7 Conclusions

References

Chapter 13: Orbital Angular Momentum-based Wireless Communications: Designs and Implementations

13.1 EM Waves Carrying OAM

13.2 Application of OAM to RF Communications

13.3 OAM Beam Generation, Multiplexing and Detection

13.4 Wireless Communications Using OAM Multiplexing

13.5 Summary and Perspective

References

Part 3: New Spectrum Opportunities for 5G

Chapter 14: Millimeter Waves for 5G: From Theory To Practice

14.1 Introduction

14.2 Building a mmWave PoC System

14.3 Desirable Features of a mmWave Prototyping System

14.4 Case Study: a mmWave Cellular PoC

14.5 Conclusion

References

Chapter 15: *5G Millimeter-wave Communication Channel and Technology Overview

15.1 Introduction

15.2 Millimeter-wave Channel Characteristics

15.3 Requirements for a 5G mmWave Channel Model

15.4 Millimeter-wave Channel Model for 5G

15.5 Signal Processing for mmWave Band 5G RAT

15.6 Summary

References

Chapter 16: General Principles and Basic Algorithms for Full-duplex Transmission

16.1 Introduction

16.2 Self-interference: Basic Analyses and Models

16.3 SIC Techniques and Algorithms

16.4 Hardware Impairments and Implementation Challenges

16.5 Looking Toward Full-duplex MIMO Systems

16.6 Conclusion and Outlook

References

Chapter 17: Design and Implementation of Full-duplex Transceivers

17.1 Research Challenges

17.2 Antenna Designs

17.3 RF Self-interference Cancellation Methods

17.4 Digital Self-interference Cancellation Algorithms

17.5 Demonstration

17.6 Summary

Acknowledgements

References

Part 4: New System-Level Enabling Technologies for 5G

Chapter 18: Cloud Radio Access Networks: Uplink Channel Estimation and Downlink Precoding

18.1 Introduction

18.2 Technology Background

18.3 Uplink: Where to Perform Channel Estimation?

18.4 Downlink: Where to Perform Channel Encoding and Precoding?

18.5 Concluding Remarks

References

Chapter 19: Energy-efficient Resource Allocation in 5G with Application to D2D

19.1 Introduction

19.2 Signal Model

19.3 Resource Allocation

19.4 Fractional Programming

19.5 Algorithms

19.6 Sequential Fractional Programming

19.7 System Optimization

19.8 Numerical Results

19.9 Conclusion

References

Chapter 20: Ultra Dense Networks: General Introduction and Design Overview

20.1 Introduction

20.2 Interference Management

20.3 Mobility Management

20.4 Architecture and Backhaul

20.5 Other Issues in UDNs for 5G

20.6 Conclusions

Acknowledgements

References

Chapter 21: Radio-resource Management and Optimization in 5G Networks

21.1 Introduction

21.2 Background

21.3 Optimal Strategies for Single-antenna Coordinated Ultradense Networks

21.4 Optimal Strategies for Multi-antenna Coordinated and Cooperative Ultradense Networks

21.5 Summary and Future Research Directions

Acknowledgments

References

Part 5: Reference Design and 5G Standard Development

Chapter 22: Full-duplex Radios in 5G: Fundamentals, Design and Prototyping

22.1 Introduction

22.2 Self-interference

22.3 Analog Self-interference Cancellation

22.4 Digital Self-interference Cancellation

22.5 Prototyping Full-duplex Radios

22.6 Overall Performance Evaluation

22.7 Conclusion

References

Chapter 23: 5G Standard Development: Technology and Roadmap

23.1 Introduction

23.2 Standards Roadmap from 4G to 5G

23.3 Preparation of 5G Cellular Communication Standards

23.4 Concluding Remarks

References

Index

End User License Agreement

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Guide

Cover

Table of Contents

Preface

Begin Reading

List of Tables

Chapter 1: An Introduction to Modulations and Waveforms for 5G Networks

Table 1.1 Frequency-domain prototype filter coefficients

Chapter 3: From OFDM to FBMC: Principles and Comparisons

Table 3.1 The OFDM parameters in 3GPP LTE

Table 3.2 Transmission bandwidth configuration of 3GPP LTE

Table 3.3 Computational complexity

Chapter 5: Bandwidth-compressed Multicarrier Communication: SEFDM

Table 5.1 History of SEFDM

Chapter 6: Non-orthogonal Multi-User Superposition and Shared Access

Table 6.1 Bit partition and the corresponding power partition

Table 6.2 System-level simulation assumptions of DL NOMA (SISO configuration)

Table 6.3 Uplink system performance comparison between SCMA and LTE baseline

Table 6.4 Link simulation parameters for MUSA in the AWGN channel

Table 6.5 System simulation parameters for UL MUSA

Chapter 7: Non-Orthogonal Multiple Access (NOMA): Concept and Design

Table 7.1 Link-level simulation parameters

Table 7.2 System-level simulation parameters

Table 7.3 Comparison of cell throughput and cell-edge user throughput (Mbps) between NOMA and OMA with 2×2 MIMO TM3 and TM4

Table 7.4 Major simulation parameters

Chapter 9: Massive MIMO for 5G: Theory, Implementation and Prototyping

Table 9.1 Hardware Details for Matrix Multiplication

Table 9.2 Specifications for Massive MIMO 128-antenna testbed

Table 9.3 Detailed specifications for USRP-2943R software defined radio

Chapter 10: Millimeter-Wave MIMO Transceivers: Theory, Design and Implementation

Table 10.1 Performance of the reduced-complexity B-MIMO WF precoders at an SNR of 20 dB with 5 GHz of system bandwidth

Chapter 12: 3D-MIMO with Massive Antennas: Theory, Implementation and Testing

Table 12.1 Summary of evaluation assumptions

Table 12.2 Benefits and challenges of the three BS architectures with different levels of integration

Chapter 13: Orbital Angular Momentum-based Wireless Communications: Designs and Implementations

Table 13.1 The power transfer and crosstalk of each OAM channel in

R

1

and

R

2

. The crosstalk of each OAM channel is measured at

f

= 28 GHz

Chapter 14: Millimeter Waves for 5G: From Theory To Practice

Table 14.1 System parameters of different air interfaces defined in the mmWave band

Table 14.2 System parameters for SC-NCP modulation in the mmWave PoC

Table 14.3 Modulation and coding schemes in the mmWave PoC

Chapter 16: General Principles and Basic Algorithms for Full-duplex Transmission

Table 16.1 Specifications of a full-duplex system

Chapter 17: Design and Implementation of Full-duplex Transceivers

Table 17.1 Example RF component parameters used in evaluating the power levels

Chapter 18: Cloud Radio Access Networks: Uplink Channel Estimation and Downlink Precoding

Table 18.1 Design of fronthaul compression and precoding: conventional approach with stochastic CSI

Chapter 20: Ultra Dense Networks: General Introduction and Design Overview

Table 20.1 Application scenarios and services

Table 20.2 Different mechanisms of interference management

Table 20.3 The capability of different backhaul technologies

Chapter 21: Radio-resource Management and Optimization in 5G Networks

Table 21.1 Overview of radio-resources management strategies for single-antenna coordinated UDNs

Chapter 22: Full-duplex Radios in 5G: Fundamentals, Design and Prototyping

Table 22.1 Full-duplex LTE system parameters

Table 22.2 Throughput of half/full-duplex prototype systems

Signal Processing for 5G

Algorithms and Implementations

Edited by

Fa-Long Luo, Ph.D., IEEE Fellow

Charlie (Jianzhong) Zhang, Ph.D., IEEE Fellow

This edition first published 2016

© 2016 John Wiley & Sons, Ltd

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Library of Congress Cataloging-in-Publication Data

Names: Luo, Fa-Long, editor. | Zhang, Charlie, editor.

Title: Signal processing for 5G : algorithms and implementations / edited by Fa-Long Luo, Charlie Zhang.

Description: Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., [2016] | Includes bibliographical references and index.

Identifiers: LCCN 2016010334| ISBN 9781119116462 (cloth) | ISBN 9781119116486 (epub) | ISBN 9781119116479 (Adobe PDF)

Subjects: LCSH: Signal processing–Digital techniques–Mathematics. | Mobile communication systems–Standards. | Wireless communication systems–Standards. | Computer algorithms.

Classification: LCC TK5102.9 .S5423 2016 | DDC 621.3845/6–dc23 LC record available at https://lccn.loc.gov/2016010334

A catalogue record for this book is available from the British Library.

Preface

5G wireless technology is developing at an explosive rate and is one of the biggest areas of research within academia and industry. In this rapid development, signal processing techniques are playing the most important role. In 2G, 3G and 4G, the peak service rate was the dominant metric for performance. Each of these previous generations was defined by a standout signal processing technology that represented the most important advance made. In 2G, this technology was time-division multiple access (TDMA); in 3G, it was code-division multiple access (CDMA); and in 4G, it was orthogonal frequency-division multiple access (OFDMA). However, this will not be the case for 5G systems – there will be no dominant performance metric that defines requirements for 5G technologies. Instead, a number of new signal processing techniques will be used to continuously increase peak service rates, and there will be a new emphasis on greatly increasing capacity, coverage, efficiency (power, spectrum, and other resources), flexibility, compatibility, reliability and convergence. In this way, 5G systems will be able to handle the explosion in demand arising from emerging applications such as big data, cloud services, and machine-to-machine communication.

A number of new signal processing techniques have been proposed for 5G systems and are being considered for international standards development and deployment. These new signal processing techniques for 5G can be categorized into four groups:

new modulation and coding schemes

new spatial processing techniques

new spectrum opportunities

new system-level enabling techniques.

The successful development and implementation of these technologies for 5G will be challenging and will require huge effort from industry, academia, standardization organizations and regulatory authorities.

From an algorithm and implementation perspective, this book aims to be the first single volume to provide a comprehensive and highly coherent treatment of all the signal processing techniques that enable 5G, covering system architecture, physical (PHY)-layer (down link and up link), protocols, air interface, cell acquisition, scheduling and rate adaption, access procedures, relaying and spectrum allocation. This book is organized into twenty-three chapters in five parts.

Part 1: Modulation, Coding and Waveform for 5G

The first part, consisting of eight chapters, will present and compare the detailed algorithms and implementations of all major candidate modulation and coding schemes for 5G, including generalized frequency division multiplexing (GFDM), filter-bank multi-carrier (FBMC) transmission, universal filtered multi-carrier (UFMC) transmission, bi-orthogonal frequency division multiplexing (BFDM), spectrally efficient frequency division multiplexing (SEFDM), the faster-than-Nyquist signaling (FTN) based time-frequency packing (TFP), sparse code multiple access (SCMA), multi-user shared access (MUSA) and non-orthogonal multiple access (NOMA).

With a focus on FBMC, GFDM, UFMC, BFDM and TFP, Chapter 1 presents a comprehensive introduction to these waveform generation and modulation schemes by covering the basic principles, mathematical models, step-by-step algorithms, implementation complexities, schematic processing flows and the corresponding application scenarios involved.

Chapter 2 is devoted to the FTN data transmission method, with the emphasis on applications that are important for future 5G systems. What is explored in this chapter mainly includes time-FTN methods with non-binary modulation and multi-subcarrier methods that are similar in structure to OFDM. In either, there is an acceleration processing in time or compacting in frequency that makes signal streams no longer orthogonal. FTN can be combined with error-correcting coding structures to form true waveform coding schemes that work at high-bit rates per Hertz and second. As a matter of fact, FTN based systems can potentially double data transmission rates.

The technical evolution from OFDM to FBMC is addressed in Chapter 3