Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential

Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential
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Abstract
The upcoming 6G pushes the 5G performance indicators to unprecedented levels, envisioning up to THz frequencies, devices with embedded sensing capabilities, and native artificial intelligence. These challenging features are expected to become a reality around 2030 and with a strong green footprint. In this talk, we will elaborate around the emerging technology of reconfigurable intelligent surfaces and its efficient configuration optimization via state-of-the-art sensing-capable hardware architectures. We will discuss recent results on the capacity characterization of multi-RIS-empowered point-to-point and multiple-access channels, and then present a reinforcement learning approach for the orchestration of multi-RIS-empowered smart wireless environments. We will also discuss the latest considerations of the latter environments for sensing-aided communications and distributed sensing.
Speaker(s): George
Agenda:
Welcome address : Besma Smida , North America COMSOC Director
Distinguished Lecture : George C. Alexandropoulos – Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential
Closing Notes : Prasenjit Banerjee , COMSOC Chicago Chapter Chair
Room: 1000, Bldg: SEO Building, 851 S Morgan St, Chicago, Illinois, United States, 60607