Online Control of Two-Step Random Access: A Step Towards uMTC
- Authors
- Song, Shilun; Seo, Jun-Bae; Jin, Hu
- Issue Date
- Mar-2023
- Publisher
- IEEE
- 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, pp.1 - 6
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Wireless Communications and Networking Conference, WCNC
- Volume
- 2023-March
- Start Page
- 1
- End Page
- 6
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/188324
- 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.
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