School of Engineering, James Watt Building (South),
University of Glasgow, United Kingdom
Title:
Reconfigurable Intelligent Surfaces (RIS) for Communication, Sensing, and Localisation
Abstract:
Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology for next-generation wireless networks, enabling precise control of electromagnetic waves to enhance communication, sensing, and localisation. RIS leverages programmable metasurfaces composed of sub-wavelength reflective elements to dynamically manipulate the amplitude, phase, and polarization of incident waves. This capability supports diverse applications in 6G scenarios, including high-speed data transmission, real-time health monitoring, and indoor localisation. In communication, RIS improves energy efficiency and signal coverage, particularly in Non-Line-of-Sight (NLoS) environments. It achieves efficient beamforming with minimal power consumption and low hardware complexity. For sensing applications, RIS enables high-accuracy vital sign detection, including real-time heartbeat and respiration monitoring in NLoS conditions, overcoming limitations of conventional RF sensing technologies. For localisation, RIS enhances the performance of machine-learning-based indoor positioning systems by reshaping radio wave propagation and reducing multipath fading effects. The technology supports both active and passive localisation methods, making it ideal for complex, dynamic environments. RIS holds immense potential in integrated sensing and communication (ISAC) systems, paving the way for innovative solutions in smart homes, healthcare, and urban environments. By addressing challenges such as NLoS coverage, hardware constraints, and energy efficiency, RIS is poised to play a critical role in realising the vision of ubiquitous, intelligent, and sustainable wireless networks.
Biography:
Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology for next-generation wireless networks, enabling precise control of electromagnetic waves to enhance communication, sensing, and localisation. RIS leverages programmable metasurfaces composed of sub-wavelength reflective elements to dynamically manipulate the amplitude, phase, and polarization of incident waves. This capability supports diverse applications in 6G scenarios, including high-speed data transmission, real-time health monitoring, and indoor localisation. In communication, RIS improves energy efficiency and signal coverage, particularly in Non-Line-of-Sight (NLoS) environments. It achieves efficient beamforming with minimal power consumption and low hardware complexity. For sensing applications, RIS enables high-accuracy vital sign detection, including real-time heartbeat and respiration monitoring in NLoS conditions, overcoming limitations of conventional RF sensing technologies. For localisation, RIS enhances the performance of machine-learning-based indoor positioning systems by reshaping radio wave propagation and reducing multipath fading effects. The technology supports both active and passive localisation methods, making it ideal for complex, dynamic environments. RIS holds immense potential in integrated sensing and communication (ISAC) systems, paving the way for innovative solutions in smart homes, healthcare, and urban environments. By addressing challenges such as NLoS coverage, hardware constraints, and energy efficiency, RIS is poised to play a critical role in realising the vision of ubiquitous, intelligent, and sustainable wireless networks