Broadband wireless communication has transformed dramatically, leading to advanced technologies like 5G. 5G Narrowband Internet of Things: With Satellite Connectivity and Artificial Intelligence focuses on one crucial aspect of 5G – Narrowband Internet of Things (NB-IoT). Since the first edition of this book was published in 2019, NB-IoT has evolved with new features introduced in 3GPP Releases 15–18. This second edition explores its architecture, protocol stack, and latest enhancements, including satellite connectivity, AI/ML integration, and cloud-based infrastructure. Designed as an accessible reference, it simplifies complex concepts while providing valuable insights into this growing technology.
New to the Second Edition:
• Explores the latest advancements in NB-IoT through 3GPP release 18, including enhanced data rates, lower latency, TDD support, power-saving mechanism, and new modulation schemes like 16QAM.
• Details the convergence of NB-IoT with satellite networks, expanding global coverage beyond terrestrial limitations and provides intelligent connectivity in aviation, maritime, and lands.
• Explores how AI/ML enhances data analysis, does predictive maintenance, predicts future trends and patterns, and provides intelligent resource optimization for NB-IoT devices.
• Provides insights into NB-IoT’s role within both 3GPP Series 36 (LTE) and 3GPP Series 38 (New Radio).
• Examines the ongoing evolution of NB-IoT and its expanding role in smart cities, industrial automation, and large-scale connectivity.
This edition offers an accessible yet in-depth guide for researchers, engineers, and industry professionals looking to understand the latest breakthroughs in NB-IoT technology.
Table of Contents:
1 Internet of Things
2 5G and 6G Systems
3 Radio Resource Control Sublayer
4 Packet Data Convergence Protocol Sublayer
5 Radio Link Control Sublayer
6 Medium Access Control Sublayer
7 Physical Sublayer
8 Quality of Service Architecture
9 Non-Terrestrial Network (Satellite) Communication
10 Use Cases and Deployment
11 Artificial Intelligence and Machine Learning for NB-IoT
About the Author :
Dr. Hossam Fattah is a wireless communication technology expert. He received his Ph.D. in electrical and computer engineering from the University of British Columbia, Vancouver, Canada. Since 2003, he has been with Texas A&M University, Spirent Communications, Microsoft, and the semiconductor industry, USA. He has been an affiliate associate professor at University of Washington, Tacoma, WA, USA. He is the author of many patents, technical publications, and books. He is an IEEE senior member and a registered professional engineer (PEng).
