Digital Twins and RF imaging for Wireless Networks
- 1st Edition - December 1, 2026
- Latest edition
- Editors: George C. Alexandropoulos, Aryan Kaushik
- Language: English
Digital Twins and RF imaging for Wireless Networks presents the concept of digital twins, covering topics such as efficient estimation of high-dimensional channel matrices, real-t… Read more
Description
Description
Each chapter offers cutting-edge insights and methodologies that are expected to drive the future of wireless communication and sensing technologies. The rising demands of novel wireless communication applications, dynamic operating environments, and intricate traffic and user patterns are accelerating the transformation of wireless networks into distributed platforms that integrate communications, sensing, and computing to enable immersive functionalities. Digital twins and radio-frequency imaging are two rapidly evolving technologies poised to revolutionize sixth-generation (6G) and beyond wireless networks.
Key features
Key features
- Presents two of the most transformative technologies in wireless communications—digital twins and radio-frequency imaging
- Delves into theoretical aspects, but also emphasizes practical applications and use cases for sixth generation (6G) and future wireless networks
- Highlights the significant role of high-resolution imaging and predictive maintenance in modern wireless networks
- Includes real-world examples and case studies that demonstrate how digital twins and RF imaging are applied in various industries such as smart cities, healthcare, autonomous vehicles, and IoT networks
Readership
Readership
Table of contents
Table of contents
1. Digital-Twin-Enabled MIMO Channel Estimation
2. Fundamental Limits of Resource Allocation for Digital-Twin Driven Networks
3. Digital Twin Models for Real-Time Predictive Maintenance
4. Context-Aided Digital Twins for Wireless Communications
5. Scalable Digital-Twin Aided Distributed Learning for Smart Cities
6. Digital-Twin for 6G and Beyond Use Cases and Applications
7. Energy-Efficient Sensing and Communication in IoT Networks with Digital Twin Assistance
8. Digital Twin-Assisted ISAC for Autonomous Vehicles
9. Digital Twins for Adaptive Beamforming in Dynamic Environments
10. Adaptive Channel Coding for Digital-Twin-Assisted Network Task Offloading
Part II: Imaging
11. Deep Neural Networks with Electric Field Integral Equations for RF Imaging
12. Computational Imaging with Dynamically Reconfigurable Metasurface Antennas
13. Multimodal Sensing and Point Cloud Processing for RF Imaging
14. Differentiable Digital Twins for Optimizing Programmable Channels
15. Leveraging Spatial Diversity in Wideband MIMO Radar for High-Resolution Imaging
16. Near-Field Computational Holographic Imaging with Extremely Large Antenna Arrays
17. Communication-Aided Sensing for Imaging in UAV-Enabled ISAC Systems
Product details
Product details
- Edition: 1
- Latest edition
- Published: December 1, 2026
- Language: English
About the editors
About the editors
GA
George C. Alexandropoulos
George Alexandropoulos joined the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA) (also known shortly as University of Athens), Athens, Greece and is currently an Associate Professor for Wireless Communication Systems and Signal Processing at its Communications and Signal Processing division.
He researches in the general area of algorithmic design, optimization, and performance analysis for wireless communication networks with emphasis on multi-antenna transceiver hardware architectures, full duplex radios, active and passive reconfigurable metasurfaces, integrated sensing and communications, millimeter wave and THz communications, and distributed machine learning.
He is currently serving, or has served, as an Editor for various IEEE, Elsevier, and ITU journals (including IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Green Communications and Networking, IEEE Communications Letters, and IEEE Wireless Communications Letters), as well as acting as a Reviewer, Member of the Technical Program Committee, and Chair for many top-level international journals and conferences on signal processing and wireless communications.
AK
Aryan Kaushik
Prof. Aryan Kaushik is a CIO at RakFort since 2025. He has been an associate professor at Manchester Met (2024–25), an assistant professor at UoS (2021–24), a research fellow at UCL (2020–21), and has been associated with the University of Edinburgh (2015–19), HKUST (2014–15), etc. He has held visiting appointments at Imperial College London, University of Bologna, IIITD, etc. He has been an external assessor/PhD examiner at KTH, UC3M, etc. He has been an invited panel member at the UK EPSRC ICT Prioritisation Panel, chair of IEEE ComSoc ETI on ESIT and SIG on AITNTN, vice-chair of one6G WG3, editor of five books, etc., and has been invited as a keynote and tutorial speaker for 125+ academic and industry events globally and has chaired in organizing/TPCs of 15+ flagship IEEE conferences.