Massive MIMO in 5G Networks: Selected Applications (eBook)

Long Zhao, Hui Zhao, Kan Zheng, Wei Xiang (Autoren)

eBook Download: PDF

2017 | 1st ed. 2018
XIII, 93 Seiten
Springer International Publishing (Verlag)
978-3-319-68409-3 (ISBN)

Infos

This SpringerBrief focuses mainly on the basic theory and applications of massive MIMO in 5G networks. The significance of massive MIMO for 5G or future communications is first briefly discussed. Then, the basic theory of massive MIMO technology is comprehensively analyzed, i.e., a variety of 5G scenarios and their improvements are described when massive MIMO is taken into account. Art physical-layer techniques and various networking techniques for interference mitigation and resource scheduling are introduced as well. This SpringerBrief also examines the selected applications of massive MIMO in 5G networks, i.e., massive MIMO-aided millimeter communications and energy transfer. The physical-layer design, multiple access control (MAC) mechanism and networking techniques are discussed for millimeter-wave communications aided by massive MIMO technology. Then, massive MIMO is covered for hybrid information and energy transfer. A downlink precoder and a uplink pilot scheme is proposed for single cell networks, and both non-cooperative and cooperative energy transfer in multi-cell are presented.

 Communication researchers in the area of MIMO technology, as well as researchers and practitioners working in millimeter communications and energy transfer seeking new research topics, and topic areas with communication system design, centralized and distributed algorithms, will find this brief useful as a reference. Advanced-level students studying communication engineering will also find this book useful as a secondary text.

Long Zhao is currently a lecturer of Beijing University of Posts and Telecommunications (BUPT). He got his B.S, M.S. and Ph. D degree from China in 2008, 2011 and 2015, respectively. He was a research scholar in Engineering School of Columbia University, US from Apr. 2014 to Mar. 2015. He joined BUPT in 2015 as lecturer. His research interests are Smart Communications and Massive Signal Processing. He has published more than 40 papers in significant journals and international conferences.  Hui Zhao is currently an associate professor in Beijing University of Posts and Telecommunications (BUPT), China. She received her M.S degree in 2003 from Tianjin University and Ph.D. degree in 2006 from Beijing University of Posts and Telecommunications (BUPT). She has published more than 50 papers as well as patent applications, and has taken part in a large number of research projects. Her research interests include 5G communications, intelligent hardware and green communications.

Kan Zheng is currently a professor in Beijing University of Posts &Telecommunications (BUPT), China. He received the B.S., M.S. and Ph.D degree from, China, in 1996, 2000 and 2005, respectively. He is author of more than 200 journal articles and conference papers in the field of communication signal processing, resource optimization in wireless networks, M2M/V2V networks and so on. He holds editorial board positions for several IEEE/non-IEEE journals.  He has organized several special issues in famous journals. He has also served in the Organizing/TPC Committees for more than 20 conferences such as IEEE PIMRC, IEEE VTC and so on.

Wei Xiang is currently a professor of James Cook University, Cairns, Australia. He received the B.Eng. and M.Eng. degrees, both in electronic engineering, from the University of Electronic Science and Technology of China, Chengdu, China, in 1997 and 2000, respectively, and the Ph.D. degree in telecommunications engineering from the University of South Australia, Adelaide, Australia, in 2004. During Aug. 2012 and Mar. 2013, He was an Endeavour visiting associate professor at the University of Hong Kong. He received the Best Paper Award at 2011 IEEE WCNC. His research interests are in the broad area of communications and information theory, particularly coding and signal processing for multimedia communications systems.

Inhalt

Preface 6
Contents 8
Acronyms 11
1 Introduction 14
1.1 5G Brief 14
1.1.1 5G Requirements 14
1.1.2 5G Technology 15
1.2 MIMO Technology 15
1.2.1 Traditional MIMO 15
1.2.2 Massive MIMO 16
1.3 Aim of Monograph 17
References 18
2 Massive MIMO Technology 20
2.1 Main Application Scenarios 20
2.1.1 Homogeneous Network Scenarios 21
2.1.1.1 Multi-Layer Sectorization 21
2.1.1.2 Adaptive Beamforming 21
2.1.1.3 Large-Scale Cooperation 22
2.1.2 Heterogeneous Network Scenarios 23
2.1.2.1 Wireless Backhaul 23
2.1.2.2 Hotspot Coverage 24
2.1.2.3 Dynamic Cell 25
2.2 Physical Layer Technology 26
2.2.1 Precoders/Detectors in Single-Cell Environments 27
2.2.1.1 Theoretical Performance 27
2.2.1.2 Measurement Performance 29
2.2.1.3 Simulation Results 30
2.2.2 Precoders/Detectors in Multi-Cell Environments 32
2.2.2.1 Pilot Contamination in Multi-Cell Scenarios 32
2.2.2.2 Remedies of Pilot Contamination 35
2.2.3 Non-ideal Factors Limitation of LS-MIMO 37
2.2.3.1 Imperfect CSI 38
2.2.3.2 Non-ideal Hardware 38
2.3 Networking Technology 41
2.3.1 Inter-Cell Interference Coordination 41
2.3.1.1 Homogeneous Networks 41
2.3.1.2 Heterogeneous Networks 42
2.3.2 Scheduling 44
2.3.2.1 Full CSI-Based Scheduling 44
2.3.2.2 Partial CSI-Based Scheduling 45
2.4 Summary 47
References 48
3 Massive MIMO-Aided Millimeter Communication Technology 52
3.1 Background 52
3.2 Deployment of Millimeter-Wave Communications 54
3.2.1 Typical Deployment Scenarios 54
3.2.2 Frame Structure 56
3.3 Physical Layer Challenges and Solutions 57
3.3.1 CSI Acquisition 57
3.3.1.1 Pilot Scarcity Problem 58
3.3.1.2 Solutions 58
3.3.2 Beamforming Schemes 59
3.3.2.1 Problems of Beamforming/Precoding 59
3.3.2.2 Solutions 60
3.4 MAC and Networking Design 61
3.4.1 Routing in Multi-Hop HetSNets 61
3.4.2 Access Control and Interference Coordination 63
3.4.3 Mm-Wave Softcell Concept 65
3.5 Performance and Discussions 65
3.6 Summary 68
References 69
4 Massive MIMO-Assisted Energy Transfer Technology 70
4.1 Background 70
4.2 Downlink Hybrid Information and Energy Transfer 72
4.2.1 Downlink HIET System Model 72
4.2.1.1 Channel Model 73
4.2.1.2 Transmitter 73
4.2.1.3 Receiver 74
4.2.2 Power Allocation Problem for HIET Systems 75
4.3 Power Allocation of Single Cell Scenario 75
4.3.1 Power Allocation with Perfect CSI 75
4.3.1.1 Power Allocation for Information Users 76
4.3.1.2 Power Allocation for Energy Users 77
4.3.1.3 Tradeoff Between Harvested Energy and Information Rate 78
4.3.2 Power Allocation with Estimated CSI 79
4.3.2.1 Power Allocation for Information Users 80
4.3.2.2 Power Allocation for Energy Users 80
4.3.2.3 Comparison of Two Piloting Schemes 83
4.3.3 Performance Evaluation 84
4.3.3.1 Information Rate 84
4.3.3.2 Harvested Energy 85
4.3.3.3 Tradeoff Between Information Rate and Harvested Energy 87
4.4 Cooperative Energy Transfer of Multi-Cell Scenario 88
4.4.1 System Model of Cooperative Energy Transfer 89
4.4.2 Centralized Energy Precoder 90
4.4.2.1 Perfect CSI 90
4.4.2.2 Estimated CSI 91
4.4.2.3 Comparison Between Non-cooperative and Cooperative Schemes 92
4.4.3 Distributed Energy Precoder 92
4.4.3.1 Local Energy Precoder 93
4.4.3.2 Algorithm Description 95
4.4.3.3 Convergence 96
4.4.3.4 Complexity 97
4.4.4 Performance Evaluation 98
4.4.4.1 Comparison Between Non-cooperative and Cooperative Schemes 98
4.4.4.2 Comparison Between Centralized and Distributed Energy Precoders 99
4.5 Summary 100
References 102
5 Conclusion and Outlook 104
5.1 Conclusion 104
5.2 Future Research Directions 104
References 106

Produkt-Details

• Erscheint lt. Verlag: 21.12.2017
• Reihe/Serie: SpringerBriefs in Electrical and Computer Engineering
• Zusatzinfo: XIII, 93 p. 33 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: 5G • detection • energy efficiency • Energy transfer • MAC layer • Massive MIMO • Millimeter Communications • mmWave • networking layers • Physical Layer • precoding • Resource Allocation • spectral efficiencey • Wireless energy transfer
• ISBN-10: 3-319-68409-4 / 3319684094
• ISBN-13: 978-3-319-68409-3 / 9783319684093