@inproceedings{2fe92b4f24a14d578c325c81787e9c44,
title = "Active User Identification in Fast Fading Massive Random Access Channels",
abstract = "Reliable and prompt identification of active users is critical for enabling random access in massive machine-to-machine type networks which typically operate within stringent access delay and energy constraints. In this paper, an energy efficient active user identification protocol is envisioned in which the active users simultaneously transmit On-Off Keying (OOK) modulated preambles whereas the base station uses non-coherent detection to avoid the channel estimation overheads. The minimum number of channel-uses required for active user identification in the asymptotic regime of total number of users ℓ when the number of active devices k scales as k = Θ(1) is characterized along with an achievability scheme relying on the equivalence of activity detection to a group testing problem. A practical scheme for active user identification based on a belief propagation strategy is also proposed and its performance is compared against the theoretical bounds.",
keywords = "active user identification, activity detection, group testing, IoT, massive random access",
author = "Jyotish Robin and Elza Erkip",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Information Theory Workshop, ITW 2023 ; Conference date: 23-04-2023 Through 28-04-2023",
year = "2023",
doi = "10.1109/ITW55543.2023.10161612",
language = "English (US)",
series = "2023 IEEE Information Theory Workshop, ITW 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "232--237",
booktitle = "2023 IEEE Information Theory Workshop, ITW 2023",
}