5G Green Mobile Communication Networks (eBook)
VIII, 325 Seiten
Springer Singapore (Verlag)
978-981-13-6252-1 (ISBN)
This book focuses on the modeling, optimization, and applications of 5G green mobile communication networks, aimed at improving energy efficiency and spectrum utilization in 5G systems. It offers a balance between theoretical analysis and engineering practice, providing in-depth studies of a number of major topics, such as energy consumption models, optimization, system design, implementation, and performance evaluation. It also discusses four aspects of green communication in detail: cellular networks, resource management, wireless transmissions and multi-media communications. Further, this unique book comprehensively and systematically discusses green optimization in wireless mobile communications. As such it is a valuable resource for researchers, engineers, and graduate students in various fields, including telecommunications engineering, electrical and electronic engineering, and computer engineering, particularly those interested in green communications.
Xiaohu Ge is currently a Professor with the School of Electronic Information and Communications at Huazhong University of Science and Technology (HUST) , China. He is also an Adjunct Professor at the University of Technology Sydney, Australia. He has been granted as a Huazhong Scholar professor position in HUST. He is the founding director of China National International Joint Research Center -- Green Communications and Networks, which is granted by Ministry of Science and Technology China. He received his PhD degree in Communication and Information Engineering from HUST in 2003. He has worked at HUST since Nov. 2005. Prior to that, he worked as a researcher at Ajou University (Korea) and Politecnico Di Torino (Italy) from Jan. 2004 to Oct. 2005. He was a visiting researcher at Heriot-Watt University, Edinburgh, UK from June to August 2010. His research interests are in the area of mobile communications, traffic modeling in wireless networks, green communications, and interference modeling in wireless communications. He has published more than 110 papers in refereed journals and conference proceedings and has been granted about 15 patents in China. He received the Best Paper Awards from IEEE Globecom 2010. He is leading several projects funded by NSFC, China MOST, and industries. He is taking part in several international joint projects, such as the RCUK funded UK-China Science Bridges: R&D on (B)4G Wireless Mobile Communications and the EU FP7 funded projects.
This book focuses on the modeling, optimization, and applications of 5G green mobile communication networks, aimed at improving energy efficiency and spectrum utilization in 5G systems. It offers a balance between theoretical analysis and engineering practice, providing in-depth studies of a number of major topics, such as energy consumption models, optimization, system design, implementation, and performance evaluation. It also discusses four aspects of green communication in detail: cellular networks, resource management, wireless transmissions and multi-media communications. Further, this unique book comprehensively and systematically discusses green optimization in wireless mobile communications. As such it is a valuable resource for researchers, engineers, and graduate students in various fields, including telecommunications engineering, electrical and electronic engineering, and computer engineering, particularly those interested in green communications.
Contents 5
1 Challenges of 5G Green Communication Networks 9
1.1 Introduction 9
1.2 Evolution of Green Communications 10
1.2.1 Computation Power 10
1.2.2 New Issues Triggered by the Computation Power 10
1.3 Computation and Communication Power in 5G Wireless Communication Systems 12
1.3.1 Power Consumption at BSs 12
1.3.2 Computation Power Model 13
1.3.3 Evaluations of Computation Power 19
1.3.4 Future Challenges 21
1.4 New Issues in 5G Green Cellular Networks 23
1.4.1 Computation Capability Factor 23
1.4.2 Heat Dissipation Factor 26
1.4.3 Maximum Receiving Rates for Smartphones 29
1.4.4 Simulation Results and Discussions 30
1.4.5 Future Challenges 32
1.5 Conclusions 33
References 34
2 Energy Efficiency of 5G Wireless Communications 36
2.1 Introduction 36
2.2 Energy Efficient Hybrid Precoding Design 37
2.2.1 Related Work 37
2.2.2 System Model 39
2.2.3 Problem Formulation 41
2.2.4 Energy Efficient Hybrid Precoding Design 43
2.2.5 Energy Efficient Optimization with the Minimum Number of RF Chains 49
2.2.6 Simulation Results 57
2.2.7 Conclusions 61
2.3 Energy Efficient Optimization with RF Chains 62
2.3.1 Related Work 62
2.3.2 System Model 64
2.3.3 Problem Formulation 70
2.3.4 Hybrid Precoding Design for the Partially-Connected Structure 71
2.3.5 Simulation Results 78
2.3.6 Conclusions 83
2.4 Energy Efficient Power Control Scheme 85
2.4.1 Related Work 85
2.4.2 System Model 86
2.4.3 Achievable Rate of MIMO PVT Random Cellular Networks 88
2.4.4 Green MIMO Random Cellular Networks 92
2.4.5 Simulation Results 99
2.4.6 Conclusions 102
References 103
3 Energy Efficiency of Cellular Networks 109
3.1 On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions 109
3.1.1 Introduction 109
3.1.2 System Model 111
3.1.3 Signal Propagation Model 111
3.1.4 Performance Analysis 115
3.1.5 Network Transformation 115
3.1.6 Performance Optimization and Tradeoff 121
3.1.7 Results and Insights 123
3.1.8 Conclusions and Future Work 131
3.1.9 Appendix 133
3.2 Spatial Spectrum and Energy Efficiency of Random Cellular Networks 138
3.2.1 Introduction 138
3.2.2 System Model 140
3.2.3 Models of PVT Random Cellular Networks 143
3.2.4 Spatial Spectrum and Energy Efficiency of PVT Random Cellular Networks 154
3.2.5 Conclusions 161
3.3 Energy Efficiency Optimization of 5G Full Duplex Cellular Networks: A Mean Field Game Approach 161
3.3.1 Introduction 161
3.3.2 System Model 163
3.3.3 Formulation of Energy Efficiency 164
3.3.4 Network Energy Efficiency Optimization 168
3.3.5 Algorithm Design of Mean Field Game 177
3.3.6 Numerical Simulations of Mean Field Game 178
3.3.7 Conclusion 184
References 184
4 Energy Efficiency of 5G Multimedia Communications 191
4.1 Introduction 191
4.2 Energy Efficiency Optimization for MIMO-OFDM Mobile Multimedia Communication Systems with QoS Constraints 192
4.2.1 Related Work 192
4.2.2 System Model 194
4.2.3 Energy Efficiency Modeling of MIMO-OFDM Mobile Multimedia Communication Systems 195
4.2.4 Energy Efficiency Optimization of Mobile Multimedia Communication Systems 197
4.2.5 Optimization Solution of Energy Efficiency 198
4.2.6 Simulation Results and Performance Analysis 203
4.2.7 Conclusions 209
4.3 Multi-path Cooperative Communications Networks for Augmented and Virtual Reality Transmission 210
4.3.1 Related Work 210
4.3.2 System Model 211
4.3.3 Network Latency Model 214
4.3.4 AR/VR Multi-path Cooperative Transmissions 221
4.3.5 Service Effective Energy Optimization 226
4.3.6 Simulation Results and Performance Analysis 229
4.3.7 Conclusion 235
References 236
5 Wireless Resource Management for Green Communications 240
5.1 Introduction 240
5.2 User Traffic Model 244
5.2.1 Data Service 245
5.2.2 Voice Service 247
5.3 Downlink Average Rate and SINR Distribution in Cellular Networks 252
5.4 Bregman-Based Inexact Excessive Gap Method for Multiservice Resource Allocation 256
5.4.1 Problem Description 257
5.4.2 Regularized Lagrangian Dual Function and ?-Excessive Gap Smoothing Technique 259
5.4.3 Inexact Algorithm with Bregman Projection 263
5.4.4 Multi-service Resource Allocation Across Heterogeneous Networks 271
5.5 Conclusion 278
Appendix 1 278
Appendix 2 280
Appendix 3 282
Appendix 4 284
References 288
6 Energy Efficiency and Collaborative Optimization Theory of 5G Heterogeneous Wireless Multi Networks 291
6.1 Introduction 291
6.1.1 Heterogeneous Wireless Multi-network Energy Efficiency Collaborative Optimization Architecture 294
6.1.2 Distributed Collaborative Architecture 294
6.1.3 Centralized Collaborative Architecture 294
6.1.4 Hybrid Collaborative Architecture 294
6.2 Power Reduction for Mobile Devices by Deploying Low-Power Base Stations 296
6.2.1 Current Energy Efficiency Metrics 296
6.2.2 A Novel Energy Efficiency Metric Jointly Considered by Networks and Terminals 298
6.2.3 Network Energy Efficiency Analysis in the Case of Macro and Micro Zone Coexistence 300
6.3 Wireless Network Virtualization and Software Defined Wireless Network 311
6.3.1 Wireless Virtualization 311
6.3.2 Software Defined Wireless Network 316
6.4 Conclusion 326
References 327
| Erscheint lt. Verlag | 17.5.2019 |
|---|---|
| Zusatzinfo | VIII, 325 p. 127 illus., 121 illus. in color. |
| Sprache | englisch |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Android platform design • cooperative optimization • energy efficiency • Energy efficiency optimization • Green communication • Multimedia client design • Performance Analysis • Resource Management • stochastic geometry • System texting • User experience quality • Video coding and decoding |
| ISBN-10 | 981-13-6252-1 / 9811362521 |
| ISBN-13 | 978-981-13-6252-1 / 9789811362521 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 13,4 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
