Digital Twins and RF imaging for Wireless Networks

1 Edición - 1 de febrero de 2027
Última edición
Editores: George C. Alexandropoulos, Aryan Kaushik
Idioma: Inglés

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… Leer más

Descripción

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-time predictive maintenance, distributed learning for smart city applications, energy-efficient sensing and communications for the Internet of Things (IoT), autonomous vehicles, and adaptive channel coding for network task offloading. The second part focuses on radio-frequency imaging, discussing innovative approaches such as neural network designs for electric field integral equations, dynamically reconfigurable metasurface antennas, reconfigurable intelligent surfaces, extremely large antenna arrays in the near-field region, wideband multi-antenna radar, multimodal sensing and point cloud processing, and much more.

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.

Puntos claves

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

De interès para

Academic researchers, graduate students and industry engineers in communications engineering

Índice

Part I: DIGITAL TWINS – chapters with potential authors listed (yet to be invited)

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

Detalles del producto

Edición: 1
Última edición
Publicado: 1 de febrero de 2027
Idioma: Inglés

Sobre los editores

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.

Afiliaciones y experiencia

National and Kapodistrian University of Athens, Greece

Aryan Kaushik

Prof. Aryan Kaushik is Director of OUF Innovative (UK). Previously he has been Associate Professor at Manchester Met (UK), Assistant Professor at University of Sussex (UK), and Research Fellow at UCL (UK). He has also held visiting positions at leading institutions across UK, Luxembourg, Italy, China, etc. Recognized among the Stanford/Elsevier World’s Top 2% Scientists, he serves as an international assessor, PhD examiner, and funding evaluator. He chairs IEEE ComSoc TWG-ESIT and SIG-AITNTN, serves as one6G WG3 Vice-Chair, has edited five books, received seven IEEE Exemplary Editor Awards, and has delivered over 150 talks worldwide while chairing numerous flagship IEEE conferences.