Online Control of Two-Step Random Access: A Step Towards uMTC
- Authors
- Song, Shilun; Seo, Jun-Bae; Jin, Hu
- Issue Date
- Mar-2023
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Bayesian learning; online control; Two-step random access; ultra-reliable and low-latency communication
- Citation
- IEEE Wireless Communications and Networking Conference, WCNC, v.2023-March
- Indexed
- SCOPUS
- Journal Title
- IEEE Wireless Communications and Networking Conference, WCNC
- Volume
- 2023-March
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/59543
- DOI
- 10.1109/WCNC55385.2023.10118949
- ISSN
- 1525-3511
- Abstract
- In machine type communication (MTC), diverse applications requiring high reliability and low latency lead to the consideration of ultra-reliable and low-latency MTC (uMTC) communication scenarios. Consequently, two-step random access procedure (RAP), as an alternative to the four-step RAP, is introduced into the 5th generation (5G) communication systems to reduce the unnecessary latency caused by the multi-round transmissions in the wireless medium. In this paper, we first analyze the delay performance of the two-step RAP based on which we further propose an algorithm to control the number of preambles allocated for the two-step RAP to meet a given average delay requirement. In particular, our proposed algorithm estimates the number of active devices in an online manner and controls the number of preambles to be allocated. Through extensive simulations, we show the effectiveness of our proposed algorithm in satisfying the delay requirement as well as minimizing the preamble resource usage. © 2023 IEEE.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 해양과학대학 > 지능형통신공학과 > Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.