Data and Energy Integrated Communication Networks (eBook)

Dr. Jie Hu received his B.Eng. and M.Sc. degrees from Beijing University of Posts and Telecommunications, China, in 2008 and 2011, respectively, and received his Ph.D. degree from the Faculty of Physical Sciences and Engineering, University of Southampton, UK, in 2015. Since March 2016, he has been working with the School of Communication and Information Engineering, University of Electronic Science and Technology of China (UESTC), China, where he is an associate professor. He has a broad range of interests in wireless communication and networking, such as cognitive radio and cognitive networks, mobile social networks, data and energy integrated communication networks as well as communication and computation convergence. Prof. Kun Yang received his PhD from the Department of Electronic & Electrical Engineering of University College London (UCL), UK, and his MSc and BSc from the Computer Science Department of Jilin University, China. He is currently a Chair Professor at the School of Computer Science & Electronic Engineering, University of Essex, and leads the Network Convergence Laboratory (NCL), UK. He is also an affiliated professor at UESTC, China. Before joining the University of Essex at 2003, he worked on several European Union (EU) research projects for several years at UCL. His main research interests include wireless networks and communications, data and energy integrated networks, and computation-communication cooperation. He manages research projects funded by various sources such as the UK EPSRC, EU FP7/H2020 and industry. He has published over 100 journal articles, and serves on the editorial boards of both IEEE and non-IEEE journals. 

Preface 6
Contents 8
Acronyms 10
1 Data and Energy Integrated Communication Networks: An Overview 12
1.1 Energy Dilemma for Electronic Devices 12
1.2 Near-Field Wireless Energy Transfer 13
1.3 RF Signal Based Wireless Energy Transfer 14
1.4 WET Versus WIT in the RF Spectral Band 16
1.5 Ubiquitous Architecture of the DEIN 18
1.5.1 Heterogeneous Infrastructure 18
1.5.2 Heterogeneous User Equipment 19
1.5.3 Heterogeneous Techniques for WIT and WET 21
References 22
2 Fundamental of Integrated WET and WIT 25
2.1 Information Theoretical Essence 26
2.1.1 Discrete-Input-Discrete-Output Memoryless Channel 26
2.1.2 Continuous-Input-Continuous-Output Memoryless Channel 31
2.2 Transceiver Architecture of DEIN Devices 33
2.3 Signal Splitter Based Receiver Architecture 36
2.3.1 Ideal Receiver Architecture 36
2.3.2 Spatial Splitting Based Receiver 36
2.3.3 Power Splitting Based Receiver 38
2.3.4 Time Switching Based Receiver 40
2.3.5 Rate-Energy Region 42
2.4 Summary 43
References 44
3 Throughput Maximization and Fairness Assurance in Data and Energy Integrated Communication Networks 45
3.1 Introduction 46
3.2 System Model 47
3.2.1 Structure of the TDMA Aided Operating Cycle 48
3.2.2 Channel Model 50
3.2.3 Throughput of the Downlink Transmission 51
3.2.4 Throughput of the Uplink Transmission 51
3.3 Sum-Throughput Maximisation 52
3.4 Fair-Throughput Maximisation 56
3.5 Numerical Results 58
3.6 Summary 63
References 63
4 Joint Time Allocation and User Scheduling in a Full-Duplex Aided Multi-user DEIN 65
4.1 Introduction 66
4.2 Preliminary 67
4.2.1 Wireless Powered Communication Network 67
4.2.2 Full-Duplex 68
4.3 System Model 69
4.3.1 Network Model 69
4.3.2 Frame Structure 70
4.3.3 The Downlink WET and Uplink WIT 71
4.4 Problem Formulation 73
4.4.1 Sum-Throughput Maximisation 73
4.4.2 Iterative Algorithm 73
4.5 Performance Evaluation 76
4.6 Summary 79
References 79
5 Conclusions and Open Challenges 80
5.1 Conclusions 80
5.2 Open Challenges 82
5.2.1 Efficiency Enhancement of WET 82
5.2.2 Efficient Energy Storage 82
5.2.3 Heterogeneous Internet of Energy 83
5.2.4 Information Theoretic WET Capacity 84
5.2.5 Interference Cancellation and Signal Decoupling 84
5.2.6 Socially Aware Placement of DEIN Stations 85
5.2.7 DEIN Aided Mobile Cloud Computing 85
Index 86