Non-Orthogonal Multiple Access for Massive Connectivity (eBook)

Yuanwei Liu, Zhijin Qin, Zhiguo Ding (Autoren)

eBook Download: PDF

2019
101 Seiten
Springer International Publishing (Verlag)
978-3-030-30975-6 (ISBN)

Infos

This book discusses non-orthogonal multiple access (NOMA) and the various issues in NOMA networks, including capability, sustainability, and security. This book starts from the basics and key techniques of NOMA. Subsequently, the authors discuss three critical issues in NOMA networks, including compatibility, sustainability, and security. Particularly, the authors first demonstrate the applications of NOMA in different networks including MIMO-NOMA, NOMA in heterogeneous networks, and NOMA in cognitive radio networks to show the compatibility of NOMA with various networks. Then the wireless powered NOMA networks are presented to address the sustainability issues in NOMA networks to extend the network reliability and lifetime. The security enhanced NOMA networks are discussed for single antenna case and multiple antenna case, respectively. Finally, the most recent developments on artificial intelligence (AI) enabled NOMA networks are discussed and the research challenges on NOMA to support massive number of devices are identified. 

Yuanwei Liu received the B.S. and M.S. degrees from the Beijing University of Posts and Telecommunications in 2011 and 2014, respectively, and the Ph.D. degree in electrical engineering from the Queen Mary University of London, U.K., in 2016. He was with the Department of Informatics, King's College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. He has been a Lecturer (Assistant Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, since 2017. His research interests include 5G wireless networks, Internet of Things, machine learning, stochastic geometry, and matching theory. He received the Exemplary Reviewer Certificate of the IEEE Wireless Communication Letters in 2015 and the IEEE Transactions on Communications and the IEEE Transactions on Wireless Communications in 2016 and 2017. He has served as a TPC Member for many IEEE conferences, such as GLOBECOM and ICC. He currently serves as an Editor of the IEEE Transactions on Communications, the IEEE Communications Letters and the IEEE Access. He is also a guest editor for IEEE JSTSP special issue on 'Signal Processing Advances for Non-Orthogonal Multiple Access in Next Generation Wireless Networks'.

 

Zhijin Qin received the bachelor's degrees from Beijing University of Posts and Telecommunications, Beijing, China, in 2012 and the Ph.D. degree from Queen Mary University of London (QMUL), London, U.K., in 2016. She joined QMUL as a Lecturer (Assistant Professor) in the School of Electronic Engineering and Computer Science since August 2018. Before that, she was with Lancaster University and Imperial College London as a Lecturer and Research Associate, respectively. Her research interests include low-power wide area networks for Internet of Things, compressive sensing and machine learning in wireless communications, and non-orthogonal multiple access. She currently serves as an Editor of the IEEE Communications Letter. She has served as a TPC member for various IEEE conferences. She received the Best Paper Award from Wireless Technology Symposium 2012, IEEE Global Communications Conference (GLOBECOM) 2017, and IEEE Signal Processing Society Young Author Best Paper Award 2018.

 

Zhiguo Ding received the B.Eng. degree in electrical engineering from the Beijing University of Posts and Telecommunications in 2000 and the Ph.D. degree in electrical engineering from Imperial College London in 2005. From 2005 to 2018, he was with Queen's University Belfast, Imperial College, Newcastle University, and Lancaster University. Since 2018, he has been with the University of Manchester as a Professor in communications. From 2012 to 2018, he has also been an Academic Visitor with Princeton University. His research interests are 5G networks, game theory, cooperative and energy harvesting networks, and statistical signal processing. He received the Best Paper Award in IET ICWMC-2009 and IEEE WCSP-2014, the EU Marie Curie Fellowship 2012-2014, the Top IEEE TVT Editor 2017, the IEEE Heinrich Hertz Award 2018, and the IEEE Jack Neubauer Memorial Award 2018. He serves as an Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS, the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, and the Journal of Wireless Communications and Mobile Computing, and he was an Editor of the IEEE WIRELESS COMMUNICATION LETTERS and the IEEE COMMUNICATION LETTERS from 2013 to 2016.

Inhalt

Foreword 7
Preface 8
Acknowledgement 8
Contents 9
Acronyms 10
Part I Background 12
1 Introduction 13
1.1 Background 13
1.2 Standardization of NOMA 14
References 15
2 What Is NOMA? 17
2.1 NOMA Basis 17
2.1.1 Investigating NOMA from an Information Theoretic Perspective 17
2.1.2 Downlink NOMA Transmission 18
2.1.3 Uplink NOMA Transmission 20
References 21
Part II NOMA in Future Wireless Networks 23
3 Compatibility in NOMA 24
3.1 NOMA in Heterogeneous Networks 24
3.1.1 Network Model 25
3.1.1.1 Network Description 25
3.1.1.2 NOMA and Massive MIMO-Based User Association 26
3.1.1.3 Channel Model 27
3.1.2 Coverage Probability of Non-orthogonal Multiple-Access-Based Small Cells 29
3.1.2.1 User Association Probability and Distance Distributions 29
3.1.2.2 Laplace Transform of Interferences 31
3.1.2.3 Coverage Probability 32
3.1.3 Spectrum Efficiency 34
3.1.3.1 Ergodic Rate of NOMA Enhanced Small Cells 34
3.1.3.2 Ergodic Rate of Macro Cells 36
3.1.3.3 Spectrum Efficiency of the Proposed Hybrid Hetnets 37
3.1.4 Energy Efficiency 37
3.1.4.1 Power Consumption Model 38
3.1.4.2 Energy Efficiency of NOMA Enhanced Small Cells and Macro Cells 38
3.1.4.3 Energy Efficiency of the Proposed Hybrid Hetnets 39
3.1.5 Numerical Results 39
3.1.5.1 User Association Probability and Coverage Probability 39
3.1.5.2 Spectrum Efficiency 42
3.1.5.3 Energy Efficiency 43
3.2 NOMA in Cognitive Radio Networks 44
3.3 NOMA with MIMO 45
3.3.1 Cluster-Based MIMO-NOMA 46
3.3.2 Beamformer-Based MIMO-NOMA 47
3.3.3 Massive-MIMO-NOMA 49
3.3.4 Cognitive Radio Inspired Power Control 49
3.3.5 NOMA-Based Device-to-Device Communications 50
3.4 Summary 51
References 51
4 Sustainability of NOMA 54
4.1 Cooperative NOMA Networks 54
4.1.1 Cooperative NOMA 54
4.1.2 NOMA in Cooperative Transmission-Based Networks 56
4.1.2.1 Relay-Aided NOMA Transmission 56
4.1.2.2 Multi-Cell NOMA with Coordinated Multipoint Transmission 56
4.2 Wireless Powered NOMA 57
4.2.1 Network Model 58
4.2.1.1 Phase 1: Direct Transmission 59
4.2.1.2 Phase 2: Cooperative Transmission 61
4.2.2 Non-orthogonal Multiple Access with User Selection 62
4.2.2.1 RNRF Selection Scheme 62
4.2.2.2 NNNF Selection Scheme 65
4.2.2.3 NNFF Selection Scheme 67
4.2.3 Numerical Results 69
4.2.3.1 Outage Probability of the Near Users 69
4.2.3.2 Outage Probability of the Far Users 71
4.3 Summary 73
References 73
5 Security in NOMA 75
5.1 Secure NOMA in Random Wireless Networks 75
5.1.1 System Model 76
5.1.2 New Channel Statistics 78
5.1.3 Secrecy Outage Probability 79
5.1.4 Secrecy Diversity Order Analysis 80
5.2 Enhancing Security with the Aid of Artificial Noise 83
5.2.1 New Channel Statistics 85
5.2.2 Secrecy Outage Probability 86
5.2.3 Large Antenna Array Analysis 88
5.2.4 Numerical Results 91
5.2.5 Secrecy Outage Probability with Channel Ordering 91
5.2.6 Secrecy Outage Probability with Artificial Noise 93
5.3 Summary 95
References 95
6 Artificial Intelligence (AI) Enabled NOMA 96
6.1 AI for Adaptive NOMA 96
6.1.1 Unified NOMA 96
6.2 NOMA in UAV Networks 98
6.3 Summary 101
References 101
Part III Challenges and Conclusions 102
7 Challenges and Conclusions 103
7.1 Research Challenges 103
7.2 Conclusions 104
Index 105

Produkt-Details

• Erscheint lt. Verlag: 4.11.2019
• Reihe/Serie: SpringerBriefs in Computer Science
• Reihe/Serie: SpringerBriefs in Computer Science
• Zusatzinfo: XIV, 101 p. 26 illus., 25 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Artificial intelligence and Non-Orthogonal Multiple Access • Compatibility and Non-Orthogonal Multiple Access • Internet of Things and Non-Orthogonal Multiple Access • Non-orthogonal multiple access • orthogonal multiple access
• ISBN-10: 3-030-30975-4 / 3030309754
• ISBN-13: 978-3-030-30975-6 / 9783030309756