Virtual: https://events.vtools.ieee.org/m/376784

As a well recognized disruptive technology, visible light communication (VLC) delivers high data rates and improved security to be actively considered for many new indoor and outdoor applications in future wireless communication systems. Over the years, VLC system modeling, analysis and implementation have been an active research field enriched with multiple seminal developments reported in the literature. More recently, data-driven machine learning techniques have emerged to revolutionize conventional communication system design and optimization. In this talk, we will discuss how such machine learning techniques can be effectively applied for the design and optimization of VLC systems including examples taken from spatial modulation in VLC, simultaneous lightwave and power transfer (SLIPT) and intelligent reflective surface aided VLC systems. Speaker(s): Himal A. Suraweera, Virtual: https://events.vtools.ieee.org/m/376784