Data and Energy Integrated Communication Networks: A Brief Introduction: SpringerBriefs in Computer Science
Autor Jie Hu, Kun Yangen Limba Engleză Paperback – 9 aug 2018
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Specificații
ISBN-13: 9789811301155
ISBN-10: 9811301158
Pagini: 77
Ilustrații: X, 78 p. 23 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.14 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria SpringerBriefs in Computer Science
Locul publicării:Singapore, Singapore
ISBN-10: 9811301158
Pagini: 77
Ilustrații: X, 78 p. 23 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.14 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria SpringerBriefs in Computer Science
Locul publicării:Singapore, Singapore
Cuprins
Chapter 1 Data and Energy Integrated Communication Networks: An Overview.- Chapter 2 Transceiver Architecture For Integrated WET and WIT.- Chapter 3 Throughput Maximization and Fairness Assurance in DEIN.- Chapter 4 Joint Time Allocation And User Scheduling In A Full-Duplex Aided Multi-User DEIN.- Chapter 5 Open Challenges.
Notă biografică
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.
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.
Caracteristici
Broadens our understanding of data and energy integrated communication networking techniques Addresses both theoretical and practical aspects of integrated wireless information and energy transfer in the radio-frequency band Demonstrates the physical layer and the medium-access-control layer design of data and energy integrated communication networks Discusses the emerging topics and research opportunities in data and energy integrated communication networks