Keshav

Reconfigurable intelligent surfaces (RIS) have recently gained significant attention in the wireless communication community due to their potential to enhance wireless applications such as vehicular communication, energy harvesting, mobile-edge computing, and cognitive radios. RIS is a meta-material-based surface comprising a large number of low-cost passive elements that provide high channel gain diversity without the need for high-power multi-antenna systems. This characteristic of RIS makes it an ideal candidate for low-power wireless applications. Active reconfigurable intelligent surfaces (ARIS) have recently emerged as a new research direction that employs active elements instead of passive ones, enabling a more efficient and flexible wireless communication system. This technology has the potential to revolutionize the wireless communication industry by providing a high-quality, low-power communication system with improved spectral and energy efficiency. Another innovative concept in the field of RIS is the Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS), which has recently been introduced. STAR-RIS facilitates both transmission and reflection through the meta-material surface, leading to full-space coverage and even better control than conventional RIS. This technology has great potential for extended ultra-reliable low-latency communication systems (xURLLC) and is considered a new paradigm for simultaneous wireless information and power transfer (SWIPT). Overall, these emerging RIS technologies show great promise in revolutionizing the wireless communication industry and are expected to significantly impact the future of wireless communication systems.

Biography:

Keshav Singh received the M.Sc. degree in Information and Telecommunications Technologies from Athens Information Technology, Greece, in 2009, and the Ph.D. degree in Communication Engineering from National Central University, Taiwan, in 2015. He currently works at the Institute of Communications Engineering, National Sun Yat-sen University (NSYSU), Taiwan as an Assistant Professor. Prior to this, he held the position of Research Associate from 2016 to 2019 at the Institute of Digital Communications, University of Edinburgh, U.K. From 2019 to 2020, he was associated with the University College Dublin, Ireland as a Research Fellow. He leads research in the areas of green communications, resource allocation, full-duplex radio, ultra-reliable low-latency communication, next-generation multiple access techniques, wireless edge caching, artificial intelligence and machine learning for wireless communications, and large intelligent surface assisted communications.