Green Communications for Energy-Efficient Wireless Systems and Networks
Produktdetaljer
Biografisk notat
Himal A. Suraweera is a senior lecturer in the Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka. He is in the editorial boards of IEEE Transactions on Communications and IEEE Transactions on Green Communications and Networking. His research interests include cooperative communications systems, energy harvesting communications, full-duplex wireless techniques, massive MIMO systems, communication theory and machine learning. He is a senior member of the IEEE. Jing Yang is an assistant professor in the Department of Electrical Engineering at the Pennsylvania State University, USA. She is an editor of the IEEE Transactions on Wireless Communications and IEEE Transactions on Green Communications and Networking. Her research interests lie in wireless communications and networking, statistical learning and inference, and information theory. Alessio Zappone is a tenured professor at the University of Cassino and Southern Lazio, Cassino, Italy. Previously he was with TU Dresden and CentraleSupélec in Paris, France. His research focuses on communication theory, energy-efficient communications, and radio resource allocation. He serves as a senior area editor for the IEEE Signal Processing Letters and has served as a guest editor for the IEEE Journal on Selected Areas on Communications. John S. Thompson is a professor at the School of Engineering in the University of Edinburgh, United Kingdom. He leads UK research projects that study new concepts for fifth-generation wireless communications. He specializes in antenna array processing, cooperative communications systems, and energy-efficient wireless communications. In January 2016, he was elevated to the Fellow of the IEEE for contributions to antenna arrays and multi-hop communications.The ICT industry is a major consumer of global energy. The energy crisis, global warming problems, dramatic growth in data traffic and the increased complexity of emerging networks are pushing academic and industry research towards the development of energy-saving and energy-efficient architectures, technologies and networks in order to reduce the carbon footprint while ensuring efficient and reliable communication networks, and environmental sustainability. Attractive solutions for the design and implementation of energy efficient wireless networks and 5G technologies include massive MIMO, non-orthogonal multiple access, and energy harvesting communications. Tools from areas such as machine and deep learning are being investigated to establish optimal approaches and understand fundamental limits. Moreover, new promising heterogeneous and decentralized network architectures and the Internet-of-Things (IoT) will have an impact on the successful implementation of future and next generation green wireless communications.
The aim of this edited book is to present state-of-the art research from theory to practice, and all aspects of green communication methods and technologies for the design of next generation green wireless communication systems and networks. This advanced research title will be of interest to an audience of researchers, engineers, scientists and developers from academia and the industry working in the fields of ICTs, signal processing, networking, power and energy systems, environmental and sustainable engineering, sensing and electronics. It will also be a very useful text for lecturers, postdocs, PhD and masters students researching the design of the next generation wireless communication systems and networks.
The energy crisis, growth in data traffic and increasing network complexity are driving the development of energy-efficient architectures, technologies and networks. This edited book presents research from theory to practice, plus methods and technologies for designing next generation green wireless communication networks.
- Chapter 1: Introduction
- Part I: Mathematical tools for energy efficiency
- Chapter 2: Optimization techniques for energy efficiency
- Chapter 3: Deep learning for energy-efficient beyond 5G networks
- Chapter 4: Scheduling resources in 5G networks for energy efficiency
- Part II: Renewable energy and energy harvesting
- Chapter 5: Renewable energy-enabled wireless networks
- Chapter 6: Coverage and secrecy analysis of RF-powered Internet-of-Things
- Chapter 7: Backscatter communications for ultra-low-power IoT: from theory to applications
- Chapter 8: Age minimization in energy harvesting communications
- Part III: Energy-efficient techniques and concepts for future networks
- Chapter 9: Fundamental limits of energy efficiency in 5G multiple antenna systems
- Chapter 10: Energy-efficient design for doubly massive MIMO millimeter wave wireless systems
- Chapter 11: Energy-efficient methods for cloud radio access networks
- Chapter 12: Energy-efficient full-duplex networks
- Chapter 13: Energy-efficient resource allocation design for NOMA systems
- Chapter 14: Energy-efficient illumination toward green communications
- Chapter 15: Conclusions and future developments