Dawei Nie
Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks
Nie, Dawei; Yu, Wenjuan; Foh, Chuan Heng; Ni, Qiang; Chen, Luan; Berri, Sara; Chorti, Arsenia; Sun, Hongjian
Authors
Wenjuan Yu
Chuan Heng Foh
Qiang Ni
Luan Chen
Sara Berri
Arsenia Chorti
Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor
Abstract
The random access channel (RACH) procedure is critical for uplink synchronization and connection establishment in massive machine-type communication (mMTC). While 3GPP Release 16 introduced the 2-step RACH to reduce signaling overhead, latency incurred due to collisions remains a significant challenge in latency-critical mMTC scenarios. This paper proposes an enhanced 2-step RACH framework that integrates access class barring (ACB) with an action space-reduced contextual multi-armed bandit (AR-CMAB) agent to optimize performance. The proposed scheme dynamically adjusts the barring rate based on real-time traffic conditions, significantly reducing collisions, avoiding backoff delays, and minimizing overall access latency. Simulation results demonstrate that the AR-CMAB agent converges much faster than the benchmark scheme while achieving near-optimal latency, outperform-ing existing methods under varying traffic conditions. Index Terms-Two-step random access channel, contex-tual multi-armed bandit, access class barring.
Citation
Nie, D., Yu, W., Foh, C. H., Ni, Q., Chen, L., Berri, S., Chorti, A., & Sun, H. (2025, May). Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks. Presented at IEEE INFOCOM 2025: IEEE International Conference on Computer Communications - Workshop, London
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | IEEE INFOCOM 2025: IEEE International Conference on Computer Communications - Workshop |
Start Date | May 19, 2025 |
End Date | May 22, 2025 |
Acceptance Date | Jan 16, 2025 |
Deposit Date | Feb 25, 2025 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Public URL | https://durham-repository.worktribe.com/output/3546113 |
Publisher URL | https://ieeexplore.ieee.org/xpl/conhome/1000359/all-proceedings |
This file is under embargo due to copyright reasons.
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