5G and Beyond Wireless Communications Fundamentals, Applications, and Challenges

This book provides a thorough introduction of 5G and Beyond 5G (B5G) wireless networks, as well as cutting-edge technologies that aid in network design and development. This book also covers machine learning techniques for advanced communications.

Detalles Bibliográficos
Otros Autores: Bhowmick, Abhijit, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : Routledge [2025]
Edición:First edition
Colección:Materials, Devices, and Circuits Series
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009869121006719
Tabla de Contenidos:
  • Cover
  • Half Title
  • Series
  • Title
  • Copyright
  • Contents
  • About the Editors
  • List of Contributors
  • Chapter 1 A Comprehensive Research Look on Opportunities and Challenges in Advanced Wireless Communication
  • Chapter 2 Opportunities and Challenges in Advanced Wireless Communication
  • Chapter 3 Millimetre Wave for Next-Generation Networks: Opportunities, Challenges, and Possible Solutions
  • Chapter 4 Cognitive Radio: A Key Enabling Technology for 5G and Beyond Communication
  • Chapter 5 Device-to-Device Communication: Cooperative Device-to-Device Communication
  • Chapter 6 UAV-Assisted Communication: Unmanned Aerial Vehicles in Vehicle-to-Everything Communication Networks
  • Chapter 7 A Flight from 5G to 6G with UAV-Enabled Communications: A Case Study
  • Chapter 8 Development and Analysis of an RF-Powered Rechargeable Wireless Sensor Network for LR-WPAN
  • Chapter 9 Cooperative NOMA with Hybrid PTS-Based Energy Harvesting Relay
  • Chapter 10 Full-Duplex Energy Harvesting-Based Cooperative NOMA Network
  • Chapter 11 Design of Efficient Signal Detection Schemes for Large-Scale MU-MIMO System
  • Chapter 12 Flexible Antennas - A New Frontier in 5G Technology: A Review
  • Chapter 13 Flexible MIMO Antennas for UWB Applications
  • Chapter 14 Design of Inset-Fed Microstrip Patch Antenna Using Surrogate Model-Assisted Differential Evolution
  • Chapter 15 Millimetre Wave Antenna Design for 5G Applications
  • Chapter 16 Machine Learning Algorithms for Optimization and Intelligence in Wireless Networks: WSNs, MANETs, VANETs, and USNs
  • Chapter 17 An Efficient Localization for Resource Management in UAV-Assisted Wireless Networks Using Deep Learning
  • Chapter 18 A Smartphone-Based Context-Aware Driver Rating System for Cities in Developing Economies
  • Index.