Unsourced random access as a compressed sensing problem

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Title: Unsourced random access as a compressed sensing problem

 

Date: 28 Apr 2025 10am

 

Venue: NTU EEE Meeting Room S1-B1 (S1-B1b-66)

 

Abstract: Current wireless networks are designed to optimize spectral efficiency for human users, who typically require sustained connections for high-data-rate applications like file transfers and video streaming. However, these networks are increasingly inadequate for the emerging era of machine-type communication. With vast number of devices exhibiting sporadic traffic patterns consisting of short packets, the grant-based multiple access procedures utilized by existing networks lead to significant delays and inefficiencies. To address this issue the unsourced random access (URA) paradigm has been proposed. This paradigm assumes the devices to share a common encoder thus simplifying the reception process by eliminating the identification procedure. It is worth mentioning that the URA problem formulation allows for a standard compressed sensing (CS) interpretation. To be precise, our problem is the approximate support recovery problem (ASR), as we only need to find the support up to some distortion defined by the desired per-user probability of error. Utilizing this relation in this talk we describe fundamental limits and practical schemes for the URA problem.

 

Bio: Dr. Alexey Frolov received the M.Sc. degree in computer science from Bauman Moscow State Technical University (BMSTU) in 2010,  the Ph.D. degree in mathematics from the Institute for Information Transmission Problems (IITP), Russian Academy of Sciences (RAS), in 2012 and the D.Sc. degree in mathematics from Moscow Institute of Physics and Technology (MIPT) in 2021. He is currently a Full Professor at the Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia. His research interests include information theory and its applications in telecommunications, storage systems, and other areas. He was a recipient of the IEEE GLOBECOM Communication Theory Symposium Best Paper Award in 2020, the Russian Government Award in Science and Technology for Young Scientists in 2016 and the Moscow Government Award for Young Scientists in 2013. He was an IEEE Russia Joint Sections Information Theory Society Chapter Chairman from 2021 to 2022. He serves as an Editor for IEEE TRANSACTIONS ON COMMUNICATIONS.



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  • Date: 28 Apr 2025
  • Time: 02:00 AM UTC to 03:00 AM UTC
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  • NTU
  • Singapore, Singapore
  • Singapore 639798
  • Room Number: EEE Meeting Room S1-B1 (S1-B1b-66)

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