Energy Harvesting Wireless Communications

Energy Harvesting Wireless Communications offers a review of the most current research as well as the basic concepts, key ideas and powerful tools of energy harvesting wireless communications. Energy harvesting is both renewable and cheap and has the potential for many applications in future wireless communication systems to power transceivers by utilizing environmental energy such as solar, thermal, wind, and kinetic energy.

The authors--noted experts in the field--explore the power allocation for point-to-point energy harvesting channels, power allocation for multi-node energy harvesting channels, and cross-layer design for energy harvesting links. In addition, they offer an in-depth examination of energy harvesting network optimization and cover topics such as energy harvesting ad hoc networks, cost aware design for energy harvesting assisted cellular networks, and energy harvesting in next generation cellular networks.

Autorentext

CHUAN HUANG, PHD, is a professor in the National Key Laboratory of Science and Technology on Communications at University of Electronic Science and Technology of China, Chengdu, China. SHENG ZHOU, PHD, is an associate professor in the Department of Electronic Engineering at Tsinghua University, Beijing, China. JIE XU, PHD, is a professor at Guangdong University of Technology, Guangzhou, China. ZHISHENG NIU, PHD, is a professor in the Department of Electronic Engineering at Tsinghua University, Beijing, China. RUI ZHANG, PHD, is an associate professor in the Department of Electrical and Computer Engineering at National University of Singapore, Singapore. SHUGUANG CUI, PHD, is a professor in the Department of Electrical and Computer Engineering at University of California, Davis, USA.

Klappentext
A COMPREHENSIVE REVIEW OF THE RESEARCH IN THE EMERGENT FIELD OF ENERGY HARVESTING WIRELESS COMMUNICATIONS Energy Harvesting Wireless Communications offers a review of the most current research as well as the basic concepts, key ideas and powerful tools of energy harvesting wireless communications. Energy harvesting is both renewable and cheap and has the potential for many applications in future wireless communication systems to power transceivers by utilizing environmental energy such as solar, thermal, wind, and kinetic energy. The authorsnoted experts in the fieldexplore the power allocation for point-to-point energy harvesting channels, power allocation for multi-node energy harvesting channels, and cross-layer design for energy harvesting links. In addition, they offer an in-depth examination of energy harvesting network optimization and cover topics such as energy harvesting ad hoc networks, cost aware design for energy harvesting assisted cellular networks, and energy harvesting in next generation cellular networks. This important resource:

• Brings together in one concise volume the most current research, key concepts, challenges and applications in energy harvesting for wireless transmission and network optimization
• Offers a variety of energy harvesting models and explores the constraints of them in the optimization of EH wireless communication systems
• Contains a comprehensive review from leading researchers whose specializations include circuit design, signal processing, communication and information theory, network protocol, traffic engineering, and optimization
• Provides information into managing randomness in energy supplies, channel fading and traffic load variation Written for academics, researchers, graduate students, and industry research engineers in electrical, electronic, and computer engineering fields, Energy Harvesting Wireless Communications offers a comprehensive resource to the innovations and technology of energy harvesting wireless communications.

Zusammenfassung
Energy Harvesting Wireless Communications offers a review of the most current research as well as the basic concepts, key ideas and powerful tools of energy harvesting wireless communications. Energy harvesting is both renewable and cheap and has the potential for many applications in future wireless communication systems to power transceivers by utilizing environmental energy such as solar, thermal, wind, and kinetic energy.

The authorsnoted experts in the fieldexplore the power allocation for point-to-point energy harvesting channels, power allocation for multi-node energy harvesting channels, and cross-layer design for energy harvesting links. In addition, they offer an in-depth examination of energy harvesting network optimization and cover topics such as energy harvesting ad hoc networks, cost aware design for energy harvesting assisted cellular networks, and energy harvesting in next generation cellular networks.

Inhalt

1 Introduction 1

1.1 Energy Harvesting Models and Constraints 1

1.2 Structure of the Book 3

Part I Energy Harvesting Wireless Transmission 5

2 Power Allocation for Point-to-Point Energy Harvesting Channels 7

2.1 A General Utility Optimization Framework for Point-to-Point EH Channels 8

2.2 Throughput Maximization for Gaussian Channel with EH Transmitter 9

2.2.1 The Case with Noncausal ESIT 10

2.2.1.1 Staircase Power Allocation to Problem (2.7) 10

2.2.1.2 Efficient Algorithm to Solve Problem (12.7) 11

2.2.2 The Case with Causal ESIT 15

2.2.2.1 Dynamic Programming 15

2.3 Throughput Maximization for Fading Channel with EH Transmitter 17

2.3.1 The Case with Noncausal CSIT and ESIT 18

2.3.1.1 Water-Filling Power Allocation 18

2.3.1.2 Staircase Water-Filling Power Allocation 19

2.3.1.3 Efficient Implementation of Staircase Water-Filling Algorithm 22

2.3.2 The Case with Causal CSIT and ESIT 23

2.3.2.1 Dynamic Programming 24

2.3.2.2 Heuristic Online Solutions 27

2.3.3 Other ESIT and CSIT Cases 27

2.4 Outage Probability Minimization with EH Transmitter 29

2.4.1 The Case with No CSIT and Noncausal ESIT 29

2.4.1.1 Properties of Outage Probability Function 30

2.4.1.2 Optimal Offline Power Allocation with M = 1 33

2.4.1.3 Suboptimal Power Allocation with M = 1 35

2.4.1.4 Optimal Power Allocation for the General Case of M > 1 36

2.4.1.5 Suboptimal Offline Power Allocation with M > 1 40

2.4.2 The Case with No CSIT and Causal ESIT 41

2.4.2.1 Optimal Online Power Allocation 42

2.4.2.2 Suboptimal Online Power Allocation 43

2.4.3 Numerical Results 44

2.4.3.1 The Case of M = 1 44

2.4.3.2 The Case of M > 1 44

2.4.4 Other CSIT and ESIT Cases 47

2.5 Limited Battery Storage 48

2.5.1 Throughput Maximization over Gaussian Channel with Noncausal ESIT 48

2.5.2 Throughput Maximization over Fading Channels with Noncausal CSIT and ESIT 52

2.5.3 Other Cases 55

2.6 Imperfect Circuits 56

2.6.1 Practical Power Consumption for Wireless Transmitters 56

2.6.2 The Case with Noncausal ESIT 58

2.6.2.1 Problem Reformulation 59

2.6.2.2 Single-Block Case with M = 1 60

2.6.2.3 General Multi-Block Case with M 1 61

2.6.3 The Case with Causal ESIT 64

2.7 Power Allocation with EH Receiver 66

2.7.1 Power Consumption Model for a Wireless Receiver 66

2.7.2 The Case with Only EH Receiver 68

2.7.3 The Case with Both EH Transmitter and EH Receiver 70

2.8 Summary 70

3 Power Allocation for Multi-node Energy Harvesting Channels 75

3.1 Multiple-Access Channels 75

3.1.1 System Model 75

3.1.2 Problem Formulation 76

3.1.3 The Optimal Offline Scheme 78

3.1.4 Optimal Sum Power Allocation 78

3.1.4.1 Optimal Rate Scheduling 80

3.1.5 The Online Scheme 84

3.1.5.1 Competitive Analysis 84

3.1.5.2 The Greedy Scheme 85

3.1.6 Numerical Results 87

3.2 Relay Channels 91

3.2.1 System Model 92

3.2.2 Problem Formulation 94

3.2.2.1 Delay-Constrained Case 94

3.2.2.2 No-Delay-Constrained Case 95

3.2.3 Optimal Solution for the Delay-Constrained Case 97

3.2.3.1 Mo…