IEEE Portugal AP-ED-MTT Societies Joint Chapter
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IEEE Distinguished Lecturer – Prof. Mohamed-Slim Alouini
June 29, 2022 @ 3:30 PM - 4:30 PM
:: Towards Extreme Bandwidth Communications ::
by Prof. Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia
// Place:
Instituto Superior Técnico, Room LT2, 4th Floor – Torre Norte
Zoom (Pass: 262929): https://videoconf-colibri.zoom.us/j/84195004891?pwd=iUnVB-Mh8Znlifo0U9s3SvRIOMYbjb.1
Registration: https://docs.google.com/forms/d/e/1FAIpQLSfGD5OfZznfko8KTuSAvjOQnMBQA9AevvP2zWFKt9s1sZgQVg/viewform?usp=sf_link
// Abstract:
A rapid increase in the use of wireless services over the last few decades has led to the problem of radio-frequency (RF) spectrum exhaustion. More specifically, due to this RF spectrum scarcity, additional RF bandwidth allocation, as utilized in the recent past over “traditional bands”, is not anymore enough to fulfill the demand for more wireless applications and higher data rates. The talk goes first over the potential offered by extreme band communication (XB-Com) systems to relieve spectrum scarcity. It then summarizes some of the challenges that need to be surpassed before such kinds of systems can be deployed. Finally, the talk offers an overview of some recent studies illustrating how different XB-Com technologies can collaborate to increase emerging and future networks’ reliability and coverage while maintaining their high capacity.
Mohamed-Slim Alouini was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the Califonia Institute of Technology (Caltech) in 1998. He served as a faculty member at the University of Minnesota then in the Texas A&M University at Qatar before joining in 2009 the King Abdullah University of Science and Technology (KAUST) where he is now a Distinguished Professor of Electrical and Computer Engineering.
Prof. Alouini is a Fellow of the IEEE and of Optica (formerly OSA). He is currently particularly interested in addressing the technical challenges associated with the uneven distribution, access to, and use of information and communication technologies in far-flung, rural, low-density populations, low-income, and/or hard-to-reach areas.