book

Signal Processing for 5G: Algorithms and Implementations

by Fa-Long Luo, Charlie Zhang

October 2016

Intermediate to advanced

610 pages

21h 37m

English

Wiley-IEEE Press

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Part 1: Modulation, Coding and Waveform for 5GPart 2: New Spatial Signal Processing for 5GPart 3: New Spectrum Opportunities for 5GPart 4: New System-level Enabling Technologies for 5GPart 5: Reference Design and 5G Standard DevelopmentFor whom is this book written?
1.1 Motivation and Background1.2 New Modulation Formats: FBMC, GFDM, BFDM, UFMC and TFP1.3 Waveform Choice1.4 Discussion and Concluding RemarksReferences
2.1 Introduction to FTN Signaling2.2 Time FTN: Receivers and Performance2.3 Frequency FTN Signaling2.4 Summary of the ChapterReferences
3.1 Introduction3.2 The Filter Bank3.3 Polyphase Implementation3.4 OFDM3.5 FBMC3.6 Comparison of FBMC and Filtered OFDM3.7 ConclusionReferences
4.1 System Model and FBMC Formulation in Massive MIMO4.2 Self-equalization Property of FBMC in Massive MIMO4.3 Comparison with OFDM4.4 Blind Equalization and Pilot Decontamination4.5 ConclusionReferences

5.1 Introduction5.2 SEFDM Fundamentals5.3 Block-SEFDM5.4 Turbo-SEFDM5.5 Practical Considerations and Experimental Demonstration5.6 SummaryReferences
6.1 Introduction6.2 Basic Principles and Features of Non-orthogonal Multi-user Access6.3 Downlink Non-orthogonal Multi-user Transmission6.4 Uplink Non-orthogonal Multi-user Access6.5 Summary and Future WorkReferences
7.1 Introduction7.2 Concept7.3 Benefits and Motivations7.4 Interface Design7.5 MIMO Support7.6 Performance Evaluations7.7 ConclusionReferences
8.1 Why We Need New Waveforms8.2 Major Multicarrier Modulation Candidates8.3 High-level Comparison8.4 ConclusionList of acronymsReferences
9.1 Introduction9.2 Massive MIMO Theory9.3 Massive MIMO Channels9.4 Massive MIMO Implementation9.5 Testbed Design9.6 Synchronization9.7 Future Challenges and ConclusionAcknowledgmentsReferences
10.1 Introduction10.2 Overview of Millimeter-Wave MIMO Transceiver Architectures10.3 Point-to-Point Single-User Systems10.4 Point-to-Multipoint Multiuser Systems10.5 Extensions10.6 ConclusionReferences
11.1 Introduction and Motivation11.2 Measurement Techniques11.3 Propagation Effects11.4 Measurement Results11.5 Channel Models11.6 Summary and Open IssuesAcknowledgementsDisclaimerReferences
12.1 Introduction12.2 Application Scenarios of 3D-MIMO with Massive Antennas12.3 Exploiting 3D-MIMO Gain Based on Techniques in Current Standards12.4 Evaluation by System-level Simulations12.5 Field Trials of 3D-MIMO with Massive Antennas12.6 Achieving 3D-MIMO with Massive Antennas from Theory to Practice12.7 ConclusionsReferences
13.1 EM Waves Carrying OAM13.2 Application of OAM to RF Communications13.3 OAM Beam Generation, Multiplexing and Detection13.4 Wireless Communications Using OAM Multiplexing13.5 Summary and PerspectiveReferences
14.1 Introduction14.2 Building a mmWave PoC System14.3 Desirable Features of a mmWave Prototyping System14.4 Case Study: a mmWave Cellular PoC14.5 ConclusionReferences
15.1 Introduction15.2 Millimeter-wave Channel Characteristics15.3 Requirements for a 5G mmWave Channel Model15.4 Millimeter-wave Channel Model for 5G15.5 Signal Processing for mmWave Band 5G RAT15.6 SummaryReferences
16.1 Introduction16.2 Self-interference: Basic Analyses and Models16.3 SIC Techniques and Algorithms16.4 Hardware Impairments and Implementation Challenges16.5 Looking Toward Full-duplex MIMO Systems16.6 Conclusion and OutlookReferences
17.1 Research Challenges17.2 Antenna Designs17.3 RF Self-interference Cancellation Methods17.4 Digital Self-interference Cancellation Algorithms17.5 Demonstration17.6 SummaryAcknowledgementsReferences
18.1 Introduction18.2 Technology Background18.3 Uplink: Where to Perform Channel Estimation?18.4 Downlink: Where to Perform Channel Encoding and Precoding?18.5 Concluding RemarksReferences
19.1 Introduction19.2 Signal Model19.3 Resource Allocation19.4 Fractional Programming19.5 Algorithms19.6 Sequential Fractional Programming19.7 System Optimization19.8 Numerical Results19.9 ConclusionReferences
20.1 Introduction20.2 Interference Management20.3 Mobility Management20.4 Architecture and Backhaul20.5 Other Issues in UDNs for 5G20.6 ConclusionsAcknowledgementsReferences
21.1 Introduction21.2 Background21.3 Optimal Strategies for Single-antenna Coordinated Ultradense Networks21.4 Optimal Strategies for Multi-antenna Coordinated and Cooperative Ultradense Networks21.5 Summary and Future Research DirectionsAcknowledgmentsReferences
22.1 Introduction22.2 Self-interference22.3 Analog Self-interference Cancellation22.4 Digital Self-interference Cancellation22.5 Prototyping Full-duplex Radios22.6 Overall Performance Evaluation22.7 ConclusionReferences
23.1 Introduction23.2 Standards Roadmap from 4G to 5G23.3 Preparation of 5G Cellular Communication Standards23.4 Concluding RemarksReferences

Content preview from Signal Processing for 5G: Algorithms and Implementations

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

Qian (Clara) Li, Hyejung Jung, Pingping Zong and Geng Wu

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
1. 15.4.1 Enhanced SCM Model
2. 15.4.2 Ray-propagation-based Statistical Model
15.5 Signal Processing for mmWave Band 5G RAT
1. 15.5.1 Beam Acquisition and Channel Estimation
2. 15.5.2 Cooperative Communication and Interference Handling
15.6 Summary
References

15.1 Introduction

This chapter is devoted to addressing millimeter-wave (mmWave) channels and providing an overview on signal processing problems for mmWave communication in 5G. In the mmWave band, where frequency bands are above 30 GHz, a large number of spectrums are potentially available. In so far as a 5G wireless communication systems should be able to provide much higher area traffic capacity – downlink traffic density of 750 Gbps/km² [1], with a peak data rate of up to 10∼100 Gbps – a mobile network based on mmWave band radio access technology (RAT) is a key component.

The unique characteristics of the mmWave channel and the requirements for mmWave communications in 5G impose new requirements on mmWave channel modeling. New channel-modeling approaches therefore need to be developed for mmWave communication in 5G. This chapter presents two channel-modeling approaches to meet the requirements for a 5G mmWave channel model: an enhanced 3GPP/SCM ...