MDBF Seminerleri – Dr. Niloofar Mehrnia
Mühendislik ve Doğa Bilimleri Fakültemizin düzenlediği seminer serisinin yeni konuğu, Dr. Niloofar Mehrnia (Koç Üniversitesi) olacak.
Dr. Mehrnia, 5 Mayıs Cuma saat 14:00’te Zoom üzerinden “Wireless Channel Modeling Based on Extreme Value Theory for Ultra-Reliable Low Latency Communications” başlıklı bir sunum yapacak. Etkinlik ilgilenen herkesin katılımına açıktır ve İngilizcedir.
Zoom ID: 835 2714 9766 Şifre: 693935
Özet: Ultra-reliable low latency communication (URLLC) is one of the most important features of the fifth generation (5G) networks with the aim of supporting mission-critical applications, such as remote control of robots, remote surgery, autonomous vehicles, and vehicular teleoperation applications. At URLLC, the packet error rate (PER) is guaranteed to be as low as 10-9-10-5 to address the strict reliability constraint, while the acceptable latency is on the order of a few milliseconds. A key building block in the design of ultra-reliable communication systems is a wireless channel model that captures the statistics of rare events occurring due to significant fading. Extreme value theory (EVT) is a powerful framework that characterizes the probabilistic distribution of infrequent extreme events or, equivalently, the tail distribution. Accordingly, we propose a novel methodology based on EVT to statistically model the behavior of extreme events in a wireless channel for ultra-reliable communication.
Konuşmacı Hakkında: Niloofar Mehrnia received a B.S. degree in biomedical engineering and M.S. and Ph.D. degrees in electrical and electronics engineering from Isfahan University, Istanbul Sehir University, and Koc University in 2014, 2017, and 2022 respectively. She is currently a postdoctoral researcher in electrical and electronics engineering at Koc University, working in the Wireless Networks Laboratory (WNL) under the supervision of Prof. Sinem Coleri. Since 2019, she has also worked as a researcher at Koc University Ford Otosan Automotive Technologies Laboratory (KUFOTAL). Her research interests include wireless channel modeling, ultra-reliable and low-latency communications (URLLC), extreme value theory (EVT)-based channel tail modeling for URLLC, and vehicular communications.