Central Library

Normal view MARC view ISBD view

Energy harvesting wireless communications / Chuan Huang, Sheng Zhou, Jie Xu, Zhisheng Niu, Rui Zhang, Shuguang Cui.

By: Huang, Chuan, 1983- [author.].
Contributor(s): Zhou, Sheng [author.] | Xu, Jie [author.] | Niu, Zhisheng [author.] | Zhang, Rui [author.] | Cui, Shuguang [author.].
Material type: materialTypeLabelBookPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2019Copyright date: ©2019Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119295976; 1119295971; 9781119295969; 1119295963; 9781119295952; 1119295955.Subject(s): Energy harvesting | Wireless communication systems -- Power supply | TECHNOLOGY & ENGINEERING -- Mechanical | Energy harvestingGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Energy harvesting wireless communications.DDC classification: 621.382/32 Online resources: Wiley Online Library
Contents:
Cover; Title Page; Copyright; Contents; Chapter 1 Introduction; 1.1 Energy Harvesting Models and Constraints; 1.2 Structure of the Book; Part I Energy Harvesting Wireless Transmission; Chapter 2 Power Allocation for Point-to-Point Energy Harvesting Channels; 2.1 A General Utility Optimization Framework for Point-to-Point EH Channels; 2.2 Throughput Maximization for Gaussian Channel with EH Transmitter; 2.2.1 The Case with Noncausal ESIT; 2.2.1.1 Staircase Power Allocation to Problem (2.7); 2.2.1.2 Efficient Algorithm to Solve Problem (12.7); 2.2.2 The Case with Causal ESIT
2.2.2.1 Dynamic Programming2.3 Throughput Maximization for Fading Channel with EH Transmitter; 2.3.1 The Case with Noncausal CSIT and ESIT; 2.3.1.1 Water-Filling Power Allocation; 2.3.1.2 Staircase Water-Filling Power Allocation; 2.3.1.3 Efficient Implementation of Staircase Water-Filling Algorithm; 2.3.2 The Case with Causal CSIT and ESIT; 2.3.2.1 Dynamic Programming; 2.3.2.2 Heuristic Online Solutions; 2.3.3 Other ESIT and CSIT Cases; 2.4 Outage Probability Minimization with EH Transmitter; 2.4.1 The Case with No CSIT and Noncausal ESIT; 2.4.1.1 Properties of Outage Probability Function
2.4.1.2 Optimal Offline Power Allocation with M=12.4.1.3 Suboptimal Power Allocation with M=1; 2.4.1.4 Optimal Power Allocation for the General Case of M>1; 2.4.1.5 Suboptimal Offline Power Allocation with M>1; 2.4.2 The Case with No CSIT and Causal ESIT; 2.4.2.1 Optimal Online Power Allocation; 2.4.2.2 Suboptimal Online Power Allocation; 2.4.3 Numerical Results; 2.4.3.1 The Case of M=1; 2.4.3.2 The Case of M>1; 2.4.4 Other CSIT and ESIT Cases; 2.5 Limited Battery Storage; 2.5.1 Throughput Maximization over Gaussian Channel with Noncausal ESIT
2.5.2 Throughput Maximization over Fading Channels with Noncausal CSIT and ESIT2.5.3 Other Cases; 2.6 Imperfect Circuits; 2.6.1 Practical Power Consumption for Wireless Transmitters; 2.6.2 The Case with Noncausal ESIT; 2.6.2.1 Problem Reformulation; 2.6.2.2 Single-Block Case with M=1; 2.6.2.3 General Multi-Block Case with Me1; 2.6.3 The Case with Causal ESIT; 2.7 Power Allocation with EH Receiver; 2.7.1 Power Consumption Model for a Wireless Receiver; 2.7.2 The Case with Only EH Receiver; 2.7.3 The Case with Both EH Transmitter and EH Receiver; 2.8 Summary; References
Chapter 3 Power Allocation for Multi-node Energy Harvesting Channels3.1 Multiple-Access Channels; 3.1.1 System Model; 3.1.2 Problem Formulation; 3.1.3 The Optimal Offline Scheme; 3.1.4 Optimal Sum Power Allocation; 3.1.4.1 Optimal Rate Scheduling; 3.1.5 The Online Scheme; 3.1.5.1 Competitive Analysis; 3.1.5.2 The Greedy Scheme; 3.1.6 Numerical Results; 3.2 Relay Channels; 3.2.1 System Model; 3.2.2 Problem Formulation; 3.2.2.1 Delay-Constrained Case; 3.2.2.2 No-Delay-Constrained Case; 3.2.3 Optimal Solution for the Delay-Constrained Case; 3.2.3.1 Monotonic Power Allocation
Summary: "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. Market description: 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"-- cProvided by publisher.
    average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

"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. Market description: 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"-- cProvided by publisher.

Cover; Title Page; Copyright; Contents; Chapter 1 Introduction; 1.1 Energy Harvesting Models and Constraints; 1.2 Structure of the Book; Part I Energy Harvesting Wireless Transmission; Chapter 2 Power Allocation for Point-to-Point Energy Harvesting Channels; 2.1 A General Utility Optimization Framework for Point-to-Point EH Channels; 2.2 Throughput Maximization for Gaussian Channel with EH Transmitter; 2.2.1 The Case with Noncausal ESIT; 2.2.1.1 Staircase Power Allocation to Problem (2.7); 2.2.1.2 Efficient Algorithm to Solve Problem (12.7); 2.2.2 The Case with Causal ESIT

2.2.2.1 Dynamic Programming2.3 Throughput Maximization for Fading Channel with EH Transmitter; 2.3.1 The Case with Noncausal CSIT and ESIT; 2.3.1.1 Water-Filling Power Allocation; 2.3.1.2 Staircase Water-Filling Power Allocation; 2.3.1.3 Efficient Implementation of Staircase Water-Filling Algorithm; 2.3.2 The Case with Causal CSIT and ESIT; 2.3.2.1 Dynamic Programming; 2.3.2.2 Heuristic Online Solutions; 2.3.3 Other ESIT and CSIT Cases; 2.4 Outage Probability Minimization with EH Transmitter; 2.4.1 The Case with No CSIT and Noncausal ESIT; 2.4.1.1 Properties of Outage Probability Function

2.4.1.2 Optimal Offline Power Allocation with M=12.4.1.3 Suboptimal Power Allocation with M=1; 2.4.1.4 Optimal Power Allocation for the General Case of M>1; 2.4.1.5 Suboptimal Offline Power Allocation with M>1; 2.4.2 The Case with No CSIT and Causal ESIT; 2.4.2.1 Optimal Online Power Allocation; 2.4.2.2 Suboptimal Online Power Allocation; 2.4.3 Numerical Results; 2.4.3.1 The Case of M=1; 2.4.3.2 The Case of M>1; 2.4.4 Other CSIT and ESIT Cases; 2.5 Limited Battery Storage; 2.5.1 Throughput Maximization over Gaussian Channel with Noncausal ESIT

2.5.2 Throughput Maximization over Fading Channels with Noncausal CSIT and ESIT2.5.3 Other Cases; 2.6 Imperfect Circuits; 2.6.1 Practical Power Consumption for Wireless Transmitters; 2.6.2 The Case with Noncausal ESIT; 2.6.2.1 Problem Reformulation; 2.6.2.2 Single-Block Case with M=1; 2.6.2.3 General Multi-Block Case with Me1; 2.6.3 The Case with Causal ESIT; 2.7 Power Allocation with EH Receiver; 2.7.1 Power Consumption Model for a Wireless Receiver; 2.7.2 The Case with Only EH Receiver; 2.7.3 The Case with Both EH Transmitter and EH Receiver; 2.8 Summary; References

Chapter 3 Power Allocation for Multi-node Energy Harvesting Channels3.1 Multiple-Access Channels; 3.1.1 System Model; 3.1.2 Problem Formulation; 3.1.3 The Optimal Offline Scheme; 3.1.4 Optimal Sum Power Allocation; 3.1.4.1 Optimal Rate Scheduling; 3.1.5 The Online Scheme; 3.1.5.1 Competitive Analysis; 3.1.5.2 The Greedy Scheme; 3.1.6 Numerical Results; 3.2 Relay Channels; 3.2.1 System Model; 3.2.2 Problem Formulation; 3.2.2.1 Delay-Constrained Case; 3.2.2.2 No-Delay-Constrained Case; 3.2.3 Optimal Solution for the Delay-Constrained Case; 3.2.3.1 Monotonic Power Allocation

Online resource; title from digital title page (viewed on March 11, 2019).

There are no comments for this item.

Log in to your account to post a comment.