Buch, Englisch, 208 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 549 g
ISBN: 978-1-119-08945-2
Verlag: Wiley
5G and Beyond Wireless Communication Networks
A comprehensive and up-to-date survey of 5G technologies and applications
In 5G and Beyond Wireless Communication Networks, a team of distinguished researchers deliver an expert treatment of the technical details of modern 5G wireless networks and the performance gains they make possible. The book examines the recent progress in research and development in the area, covering related topics on fundamental 5G requirements and its enabling technologies.
The authors survey 5G service architecture and summarize enabling technologies, including highly dense small cell and heterogeneous networks, device-to-device communications underlaying cellular networks, fundamentals of non-orthogonal multiple access in 5G new radio and its applications. Readers will also find:
- A thorough introduction to 5G wireless networks, including discussions of anticipated growth in mobile data traffic
- Comprehensive explorations of dense small cell and heterogeneous networks
- Practical discussions of the most recent developments in 5G research and enabling technologies
- Recent advancement of non-orthogonal multiple access and its role in current and future wireless systems
Perfect for graduate students, professors, industry professionals, and engineers with an interest in wireless communication, 5G and Beyond Wireless Communication Networks will also benefit undergraduate and graduate students and researchers seeking an up-to-date and accessible new resource about 5G networks.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
About the Authors xi
Preface xiii
Acknowledgments xv
1 Introduction to 5G and Beyond Network 1
1.1 5G and Beyond System Requirements 1
1.1.1 Technical Challenges 2
1.2 Enabling Technologies 3
1.2.1 5G New Radio 3
1.2.1.1 Non-orthogonal Multiple Access (NOMA) 3
1.2.1.2 Channel Codes 5
1.2.1.3 Massive MIMO 5
1.2.1.4 Other 5G NR Techniques 6
1.2.2 Mobile Edge Computing (MEC) 6
1.2.3 Hybrid and Heterogeneous Communication Architecture for Pervasive IoTs 7
1.3 Book Outline 8
2 5G Wireless Networks with Underlaid D2D Communications 11
2.1 Background 11
2.1.1 MU-MIMO 11
2.1.2 D2D Communication 11
2.1.3 MU-MIMO and D2D in 5G 12
2.2 NOMA-Aided Network with Underlaid D2D 12
2.3 NOMA with SIC and Problem Formation 14
2.3.1 NOMA with SIC 14
2.3.2 Problem Formation 15
2.4 Precoding and User Grouping Algorithm 15
2.4.1 Zero-Forcing Beamforming 16
2.4.1.1 First ZF Precoding 16
2.4.1.2 Second ZF Precoding 16
2.4.2 User Grouping and Optimal Power Allocation 16
2.4.2.1 First ZF Precoding 17
2.4.2.2 Second ZF Precoding 18
2.5 Numerical Results 18
2.6 Summary 19
3 5G NOMA-Enabled Wireless Networks 21
3.1 Background 21
3.2 Error Propagation in NOMA 22
3.3 SIC and Problem Formulation 22
3.3.1 SIC with Error Propagation 23
3.3.2 Problem Formation 24
3.4 Precoding and Power Allocation 25
3.4.1 Precoding Design 25
3.4.2 Case Studies for Power Allocation 26
3.4.2.1 Case I 26
3.4.2.2 Case II 27
3.5 Numerical Results 27
3.6 Summary 30
4 NOMA in Relay and IoT for 5G Wireless Networks 31
4.1 Outage Probability Study in a NOMA Relay System 31
4.1.1 Background 31
4.1.2 System Model 32
4.1.2.1 NOMA Cooperative Scheme 32
4.1.2.2 NOMA TDMA Scheme 34
4.1.3 Outage Probability Analysis 35
4.1.3.1 Outage Probability in NOMA Cooperative Scheme 35
4.1.4 Outage Probability in NOMA TDMA Scheme 36
4.1.5 Outage Probability with Error Propagation in SIC 37
4.1.5.1 Outage Probability in NOMA Cooperative Scheme with EP 38
4.1.5.2 Outage Probability in NOMA TDMA Scheme with EP 38
4.1.6 Numerical Results 39
4.2 NOMA in a mmWave-Based IoT Wireless System with SWIPT 41
4.2.1 Introduction 41
4.2.2 System Model 41
4.2.2.1 Phase 1 Transmission 42
4.2.2.2 Phase 2 Transmission 44
4.2.3 Outage Analysis 45
4.2.3.1 UE 1 Outage Probability 45
4.2.3.2 UE 2 Outage Probability 45
4.2.3.3 Outage at High SNR 47
4.2.3.4 Diversity Analysis for UE 2 47
4.2.4 Numerical Results 47
4.2.5 Summary 48
5 Robust Beamforming in NOMA Cognitive Radio Networks: Bounded CSI 51
5.1 Background 51
5.1.1 RelatedWork and Motivation 52
5.1.1.1 Linear EH Model 52
5.1.1.2 Non-linear EH Model 53
5.1.2 Contributions 53
5.2 System and Energy Harvesting Models 54
5.2.1 System Model 54
5.2.2 Non-linear EH Model 55
5.2.3 Bounded CSI Error Model 55
5.2.3.1 NOMA Transmission 56
5.3 Power Minimization-Based Problem Formulation 56
5.3.1 Problem Formulation 57
5.3.2 Matrix Decomposition 59
5.4 Maximum Harvested Energy Problem Formulation 60
5.4.1 Complexity Analysis 61
5.5 Numerical Results 62
5.5.1 Power Minimization Problem 62
5.5.2 Energy Harvesting Maximization Problem 64
5.6 Summary 67
6 Robust Beamforming in NOMA Cognitive Radio Networks: Gaussian CSI 69
6.1 Gaussian CSI Error Model 69
6.2 Power Minimization-Based Problem Formulation 69
6.2.1 Bernstein-Type Inequality I 70
6.2.2 Bernstein-Type Inequality II 71
6.3 Maximum Harvested Energy Problem Formulation 72
6.3.1 Complexity Analysis 73
6.4 Nu
