V2X Sidelink Positioning in FR1
Speaker: Dr. Musa Furkan Keskin
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 21st, 2024 | 10.30 am
Contacts: Proff. Monica Nicoli, Mattia Brambilla
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 21st, 2024 | 10.30 am
Contacts: Proff. Monica Nicoli, Mattia Brambilla
Abstract
On May 21st, 2024 at 10.30 am the seminar "V2X Sidelink Positioning in FR1" will take place at DEIB Seminar Room "Nicola Schiavoni" (Building 20).
In this talk, we investigate sub-6 GHz V2X sidelink positioning scenarios in 5G vehicular networks through a comprehensive end-to-end methodology encompassing ray-tracing-based channel modeling, novel theoretical performance bounds, high-resolution channel parameter estimation and geometric positioning using a round-trip-time (RTT) protocol. We first present a novel, approximate Cramer-Rao bound (CRB) on the connected road user (CRU) position, explicitly taking into account multipath interference and path merging. Capitalizing on tensor decomposition and ESPRIT methods, we propose high-resolution channel parameter estimation algorithms specifically tailored to dense multipath V2X sidelink environments, designed to detect multipath components (MPCs) and extract line-of-sight (LoS) parameters. Finally, using realistic ray-tracing data, we evaluate channel estimation and positioning performance in sub-6 GHz V2X with the proposed algorithms.
In this talk, we investigate sub-6 GHz V2X sidelink positioning scenarios in 5G vehicular networks through a comprehensive end-to-end methodology encompassing ray-tracing-based channel modeling, novel theoretical performance bounds, high-resolution channel parameter estimation and geometric positioning using a round-trip-time (RTT) protocol. We first present a novel, approximate Cramer-Rao bound (CRB) on the connected road user (CRU) position, explicitly taking into account multipath interference and path merging. Capitalizing on tensor decomposition and ESPRIT methods, we propose high-resolution channel parameter estimation algorithms specifically tailored to dense multipath V2X sidelink environments, designed to detect multipath components (MPCs) and extract line-of-sight (LoS) parameters. Finally, using realistic ray-tracing data, we evaluate channel estimation and positioning performance in sub-6 GHz V2X with the proposed algorithms.
Short Bio
Musa Furkan Keskin received the B.S., M.S., and Ph.D. degrees from the Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, in 2010, 2012, and 2018, respectively. He is currently Research Specialist with the department of Electrical Engineering at Chalmers University of Technology, Gothenburg, Sweden, contributing to many interdisciplinary and industry-focused research projects at Swedish and European level in the area of integrated localization, communication and sensing in 6G systems. He was the recipient of the 2019 IEEE Turkey Best Ph.D. Thesis Award for his thesis on visible light positioning systems. His project "OTFS-RADCOM: A New Waveform for Joint Radar and Communications Beyond 5G" is granted by the European Commission as part of Marie Sklodowska-Curie Individual Fellowships (MSCA-IF). His current research interests include integrated sensing and communications, RIS-aided localization and sensing, and hardware impairments in beyond 5G/6G systems.
