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Description
This book delves into the transformative role of Artificial Intelligence in the seamless integration of Terrestrial and Non-Terrestrial Networks, offering a comprehensive exploration of cutting-edge wireless and satellite communication technologies. As the 3rd Generation Partnership Project Release 17 propels 5G services beyond terrestrial limits, this volume addresses the critical challenges and opportunities presented by Non-Terrestrial Networks (NTN), including satellite mobility, dynamic spectrum access, and AI-driven solutions for enhanced connectivity.
Readers will uncover a wealth of insights into AI-enabled advancements that are reshaping the landscape of integrated networks. The chapters cover pivotal topics such as AI-driven antenna design, energy efficiency maximization, and machine learning for predictive network management. Expert contributors provide in-depth analyses of NTN-specific issues like Doppler shifts and latency optimization, while also exploring regulatory considerations essential for successful TN-NTN coexistence. This book invites readers to engage with critical questions about the future of communication networks and the indispensable role of AI in overcoming complex technical challenges.
Introduction to Artificial Intelligence enabled Integrated Terrestrial and Non-terrestrial networks.- The Role of the Non-terrestrial networks in improving rural connectivity.- Artificial Intelligence enabled Antenna Design Consideration for Integrated Terrestrial and Non-terrestrial networks.- Chapter 4: Artificial Enabled Energy-Efficiency Maximization for Integrated Terrestrial and Non-terrestrial networks.- Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite Networks.- Green UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster Management.- Machine Learning for Predictive Network Management.- Regulatory and Policy Considerations for TN-NTN Integration.- Road Ahead for Artificial Intelligent enabled Terrestrial and Non-terrestrial networks.
Dr. Muhammad Ali Jamshed has been with the University of Glasgow since 2021. He is currently affiliated as a Collaborating Researcher with the Machine Learning and Communications Lab at Stanford University, USA, and as a Visiting Research Professor, at MONET Lab, Kyungpook National University, South Korea. He also serves as Chief Technical Advisor at TEQ-IT Ltd. He was a Visiting Research Fellow at the University of Sussex from 2022 to 2024 and worked as a Wireless Technical Consultant with Briteyellow Ltd, between 2022 and 2023. Dr. Jamshed received his PhD from University of Surrey in 2021. His research interests include energy-efficient IoT networks, AI for wireless communications, NTN, EMF exposure measurements, and backscatter communications. He has published over 90 research papers in these areas and edited six books.
Dr. Jamshed is endorsed by the Royal Academy of Engineering under the Exceptional Talent category and was nominated for the Departmental Prize for Excellence in Research in both 2019 and 2020 at the University of Surrey. He is a Senior Member of IEEE, a Fellow of the Royal Society of Arts (FRSA), a Fellow of the Higher Education Academy (FHEA), and a Member of the EURASIP Academy. He serves as an Editor for IEEE Wireless Communications Letters and as an Associate Editor for the IEEE Sensors Journal, IEEE Internet of Things Magazine, and IEEE Communications Standards Magazine. He is the Founding/Lead Chair of the IEEE ComSoc Special Interest Group on AI for Integrated Terrestrial and Non-Terrestrial Networks (AITNTN).
