Radio Access Network Slicing and Virtualization for 5G Vertical Industriesprovides readers with a comprehensive and authoritative examination of crucial topics in the field of radio access network (RAN) slicing. Learn from renowned experts as they detail how this technology supports and applies to various industrial sectors, including manufacturing, entertainment, public safety, public transport, healthcare, financial services, automotive, and energy utilities.

Radio Access Network Slicing and Virtualization for 5G Vertical Industries explains how future wireless communication systems must be built to handle high degrees of heterogeneity, including different types of applications, device classes, physical environments, mobility levels, and carrier frequencies. The authors describe how RAN slicing can be utilized to adapt 5G technologies to such wide-ranging circumstances.

The book covers a wide range of topics necessary to understand RAN slicing, including:

Physical waveforms design
Multiple service signals coexistence
RAN slicing and virtualization
Applications to 5G vertical industries in a variety of environments

This book is perfect for telecom engineers and industry actors who wish to identify realistic and cost-effective concepts to support specific 5G verticals. It also belongs on the bookshelves of researchers, professors, doctoral, and postgraduate students who want to identify open issues and conduct further research.

Autorentext

LEI ZHANG, PhD, is Senior Lecturer at the University of Glasgow, UK. He received his PhD degree from the University of Sheffield, UK. He was a research fellow in the 5G Innovation Centre (5GIC) at the Institute of Communications (ICS), University of Surrey, UK. His research interests include wireless communication systems and networks, blockchain technology, radio access network slicing (RAN slicing), Internet of Things (IoT), multi-antenna signal processing, MIMO systems, and many more. ARMAN FARHANG, PhD, received his PhD from the Trinity College in Dublin, Ireland. He is currently an Assistant Professor in the Department of Electronic Engineering at Maynooth University, Ireland. His research interests and activities are in the broad area of signal processing for communications, waveform design, signal processing for multiuser and multiple antenna systems. GANG FENG, PhD, is a Professor at the University of Electronic Science and Technology of China (UESTC), China. He received his MEng degree in Electronic Engineering from UESTC and his PhD in information engineering from the Chinese University of Hong Kong. OLUWAKAYODE ONIRETI, PhD, is a Lecturer at the University of Glasgow, UK. He received an MSc degree in mobile and satellite communication and a PhD in Electronics Engineering from the University of Surrey, Guildford, UK.

Inhalt
About the Editors xiii

Preface xvii

List of Contributors xxiii

List of Abbreviations xxvii

Part I Waveforms and Mixed-Numerology 1

1 ICI Cancellation Techniques Based on Data Repetition for OFDM Systems **3
**Miaowen Wen, Jun Li, Xilin Cheng and Xiang Cheng

1.1 OFDM History 3

1.2 OFDM Principle 4

1.2.1 Subcarrier Orthogonality 4

1.2.2 Discrete Implementation 5

1.2.3 OFDM in Multipath Channel 6

1.3 Carrier Frequency Offset Effect 8

1.3.1 Properties of ICI Coefficients 9

1.3.2 Carrier-to-Interference Power Ratio 9

1.4 ICI Cancellation Techniques 11

1.4.1 One-Path Cancellation with Mirror Mapping 11

1.4.1.1 MSR Scheme 12

1.4.1.2 MCSR Scheme 13

1.4.2 Two-Path Cancellation with Mirror Mapping 14

1.4.2.1 MCVT Scheme 15

1.4.2.2 MCJT Scheme 15

1.4.3 CIR Comparison 16

1.5 Experiment on Sea 17

1.5.1 Experiment Settings 18

1.5.2 Experiment Results 21

1.6 Summary 22

References 23

2 Filtered OFDM: An Insight into Intrinsic In-Band Interference **25
**Juquan Mao, Lei Zhang and Pei Xiao

2.1 Introduction 25

2.1.1 Notations 26

2.2 System Model for f-OFDM SISO System 26

2.3 In-Band Interference Analysis and Discussion 30

2.3.1 Channel Diagonalization and In-Band Interference-Free Systems 30

2.3.2 In-Band Interference Power 31

2.3.3 In-Band Interference Mitigation: A Practical Approach for Choosing CR Length 32

2.3.4 An Alternative for In-Band Interference Mitigation: Frequency Domain Equalization (FDE) 33

2.3.4.1 Linear Equalizers 33

2.3.4.2 Nonlinear Equalizers 34

2.4 Numerical Results 34

2.4.1 Numerical Results for In-Band Interference 35

2.5 Conclusion 38

1.2 Appendix 38

1.2.1 Derivation of zk 38

2.3 Appendix 39

2.3.1 Proof of 𝚯preBeing a Strict Upper Triangle 39

3.4 Appendix 39

3.4.1 Proof of Property 2.A.2 39

References 40

3 Windowed OFDM for Mixed-Numerology 5G and Beyond Systems **43
**Bowen Yang, Xiaoying Zhang, Lei Zhang, Arman Farhang, Pei Xiao and Muhammad Ali Imran

3.1 Introduction 43

3.2 W-OFDM System Model 45

3.2.1 Single Numerology System Model 46

3.2.2 System Model for Mixed Numerologies 48

3.3 Inter-numerology Interference Analysis 50

3.3.1 Inter-numerology Interference Analysis for Numerology 1 50

3.3.2 Inter-numerology Interference Analysis for Numerology 2 52

3.4 Numerical Results and Discussion 54

3.5 Conclusions 57

3.6 Derivation of (3.9) 57

3.7 Derivations of (3.28) 58

3.8 Derivations of (3.30) 59