5G and Beyond Wireless Communication Networks
A comprehensive and up-to-date survey of 5G technologies and applications
In 5G and Beyond Wireless Communication Networks, a team of distinguished researchers deliver an expert treatment of the technical details of modern 5G wireless networks and the performance gains they make possible. The book examines the recent progress in research and development in the area, covering related topics on fundamental 5G requirements and its enabling technologies.
The authors survey 5G service architecture and summarize enabling technologies, including highly dense small cell and heterogeneous networks, device-to-device communications underlaying cellular networks, fundamentals of non-orthogonal multiple access in 5G new radio and its applications. Readers will also find:
A thorough introduction to 5G wireless networks, including discussions of anticipated growth in mobile data traffic Comprehensive explorations of dense small cell and heterogeneous networks Practical discussions of the most recent developments in 5G research and enabling technologies Recent advancement of non-orthogonal multiple access and its role in current and future wireless systems
Perfect for graduate students, professors, industry professionals, and engineers with an interest in wireless communication, 5G and Beyond Wireless Communication Networks will also benefit undergraduate and graduate students and researchers seeking an up-to-date and accessible new resource about 5G networks.
Chapter 1 - Introduction to 5G and Beyond Network
Chapter 2 - 5G Wireless Networks with Underlaid D2D Communications
Chapter 3 - 5G NOMA-enabled Wireless Networks
Chapter 4 - NOMA in Relay and IoT for 5G Wireless Networks
Chapter 5 - Robust Beamforming in NOMA Cognitive Radio Networks: Bounded CSI
Chapter 6 - Robust Beamforming in NOMA Cognitive Radio Networks: Gaussian CSI
Chapter 7 - Mobile Edge Computing in 5G Wireless Networks
Chapter 8 - Toward Green MEC Offloading with Security Enhancement
Chapter 9 - Wireless Systems for Distributed Machine Learning
Chapter 10 - Secure Spectrum Sharing with Machine Learning: An Overview
Chapter 11 - Secure Spectrum Sharing with Machine Learning: Methodologies
Chapter 12 - Open Issues and Future Directions for 5G and Beyond Wireless Networks
Appendix - Proof of Theorem 6
Bibliography
Haijian Sun, PhD, is an Assistant Professor in the School of Electrical and Computer Engineering at the University of Georgia in Athens, USA. His research interests include wireless communications for 5G and beyond, efficient edge computing, wireless security, and wireless for distributed learning.
Rose Qingyang Hu, PhD, is a Professor in the Department of Electrical and Computer Engineering at Utah State University in Logan, USA. Her research interests include next-generation wireless communications, wireless network design and optimization, and more.
Yi Qian, PhD, is a Professor in the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln in Omaha, USA. His research interests include cyber security and communication network security, computer networks, and wireless networks.
