Green Communications for Energy-Efficient Wireless Systems and Networks

Inbunden, Engelska, 2020

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-12-31
Mått:156 x 234 x 25 mm
Vikt:930 g
Format:Inbunden
Språk:Engelska
Serie:Telecommunications
Antal sidor:476
Förlag:Institution of Engineering and Technology
ISBN:9781839530678

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

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.

Innehållsförteckning

Chapter 1: IntroductionPart I: Mathematical tools for energy efficiencyChapter 2: Optimization techniques for energy efficiencyChapter 3: Deep learning for energy-efficient beyond 5G networksChapter 4: Scheduling resources in 5G networks for energy efficiency Part II: Renewable energy and energy harvestingChapter 5: Renewable energy-enabled wireless networksChapter 6: Coverage and secrecy analysis of RF-powered Internet-of-ThingsChapter 7: Backscatter communications for ultra-low-power IoT: from theory to applicationsChapter 8: Age minimization in energy harvesting communications Part III: Energy-efficient techniques and concepts for future networksChapter 9: Fundamental limits of energy efficiency in 5G multiple antenna systemsChapter 10: Energy-efficient design for doubly massive MIMO millimeter wave wireless systemsChapter 11: Energy-efficient methods for cloud radio access networksChapter 12: Energy-efficient full-duplex networksChapter 13: Energy-efficient resource allocation design for NOMA systemsChapter 14: Energy-efficient illumination toward green communicationsChapter 15: Conclusions and future developments