Massive Access for Cellular Internet of Things Theory and Technique (eBook)
IX, 130 Seiten
Springer Singapore (Verlag)
978-981-13-6597-3 (ISBN)
Xiaoming Chen is a professor with the College of Information Science and Electronic Engineering, Zhejiang University, China. His research interests are in the areas of wireless communication and signal processing, mainly including fifth-generation (5G) key techniques, IoT theory and technique, and machine learning in communications. Prof. Chen has published more than 100 referred papers in IEEE Journals and conferences. He is serving as an Editor of IEEE Transactions on Communications and IEEE Communications Letters.
This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etc.
Preface 6
Contents 8
1 Introduction 11
1.1 Cellular IoT 11
1.1.1 Why Is Cellular IoT 13
1.1.2 Cellular IoT in 5G and Beyond 14
1.2 An Overview of Massive Access for the Cellular IoT 15
1.2.1 CSI Acquisition 16
1.2.2 User Clustering 16
1.2.3 Superposition Coding 17
1.2.4 Successive Interference Cancellation 18
1.3 Objective of This Book 18
References 21
2 Massive Access with Full Channel State Information 24
2.1 Introduction 24
2.2 System Model and Problem Formulation 26
2.3 Design of Massive Access System 29
2.3.1 Weighted Sum Rate Maximization Design 30
2.3.2 Total Power Consumption Minimization Design 35
2.4 Numerical Results 38
2.5 Conclusion 42
Appendix A Proof of Lemma 1 43
Appendix B Proof of Proposition 1 44
References 45
3 Massive Access with Channel Quantization Codebook 47
3.1 Introduction 47
3.2 System Model and Problem Formulation 49
3.3 Performance Analysis and Optimization 52
3.3.1 Average Transmission Rate 52
3.3.2 Power Allocation 55
3.3.3 Feedback Distribution 58
3.3.4 Mode Selection 60
3.3.5 Joint Optimization Scheme 61
3.4 Asymptotic Analysis 61
3.4.1 Interference Limited Case 61
3.4.2 Noise Limited Case 66
3.5 Numerical Results 66
3.6 Conclusion 71
References 71
4 Massive Access with Channel Reciprocity 73
4.1 Introduction 73
4.2 System Model and Problem Formulation 75
4.2.1 Non-orthogonal Channel Estimation 75
4.2.2 Non-orthogonal Multiple Access 78
4.3 Analysis of Fully Non-orthogonal Communication 80
4.3.1 Spectral Efficiency of Fully Non-orthogonal Communication 81
4.3.2 The Multi-cell Case 85
4.3.3 Asymptotic Characteristics of Fully Non-orthogonal Communication 86
4.3.3.1 A Large Number of BS Antennas 86
4.3.3.2 High BS Transmit Power 89
4.3.3.3 Perfect CSI at the BS 89
4.4 Optimization of Fully Non-orthogonal Communication 90
4.4.1 Optimization of Non-orthogonal Channel Estimation 90
4.4.2 Optimization of Non-orthogonal Multiple Access 92
4.5 Numerical Results 95
4.6 Conclusion 100
References 100
5 Massive Access with Channel Statistical Information 102
5.1 Introduction 102
5.2 System Model and Problem Formulation 104
5.2.1 CSI Acquisition 104
5.2.2 User Clustering 106
5.2.3 Superposition Coding 107
5.2.4 Successive Interference Cancellation 108
5.3 Performance Analysis and Optimization of Non-orthogonal Beamspace Multiple Access 110
5.3.1 Performance Analysis 111
5.3.2 Performance Optimization 112
5.3.2.1 Full-Space Multiple-Beam Design 113
5.3.2.2 Partial-Space Multiple-Beam Design 116
5.3.2.3 Partial-Space Single-Beam Design 119
5.4 Numerical Results 122
5.5 Conclusion 126
Appendix The Proof of Theorem 1 127
References 128
6 Summary 130
6.1 Concluding Remarks 130
6.2 Future Works 134
References 136
| Erscheint lt. Verlag | 7.5.2019 |
|---|---|
| Reihe/Serie | SpringerBriefs in Electrical and Computer Engineering | SpringerBriefs in Electrical and Computer Engineering |
| Zusatzinfo | IX, 130 p. 48 illus., 28 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Web / Internet |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | 5G massive IoT • Cellular internet of things • Channel state information acquisition • internet of things • LTE-M • Massive access • NB-Iot • Non-orthogonal multiple access • successive interference cancellation • Superposition coding • User clustering |
| ISBN-10 | 981-13-6597-0 / 9811365970 |
| ISBN-13 | 978-981-13-6597-3 / 9789811365973 |
| Haben Sie eine Frage zum Produkt? |
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