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Online Control of Two-Step Random Access: A Step Towards uMTC

Authors
Song, ShilunSeo, Jun-BaeJin, 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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