George C. Alexandropoulos – författare

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.Presents two of the most transformative technologies in wireless communications-digital twins and radio-frequency imagingDelves into theoretical aspects, but also emphasizes practical applications and use cases for sixth generation (6G) and future wireless networksHighlights the significant role of high-resolution imaging and predictive maintenance in modern wireless networksIncludes 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