Digital Twins and RF imaging for Wireless Networks

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. These technologies offer new levels of automation for various vertical sectors and fundamentally change how networks are dynamically optimized by leveraging high-resolution representations of the wireless environment and devices, enabling predictive maintenance. Digital Twins and RF imaging for Wireless Networks presents the first comprehensive collection of state-of-the-art advances in these two transformative technologies, contributed by leading researchers in the field. The book is structured into two main parts. The first 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 integrated sensing and communication with unmanned aerial vehicles (UAVs). Each chapter offers cutting-edge insights and methodologies that are expected to drive the future of wireless communication and sensing technologies.