Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Optimizing Random Access Procedure to Support Massive and Delay-Critical MTCs

Authors
Song, ShilunXie, HuiyangJin, Hu
Issue Date
Dec-2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
5G; access coexisting; Bayesian learning; online control; random access
Citation
2023 12th International Conference on Awareness Science and Technology (iCAST), pp 169 - 172
Pages
4
Indexed
SCOPUS
Journal Title
2023 12th International Conference on Awareness Science and Technology (iCAST)
Start Page
169
End Page
172
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118233
DOI
10.1109/iCAST57874.2023.10359263
ISSN
0000-0000
Abstract
In 5G networks, random access plays a vital role, especially for Machine Type Communication (MTC) with a large number of access requirements. The 5G standard introduces two distinct random access mechanisms: 4-step Random Access Procedure (RAP) and 2-step RAP. The 4-step RAP provides a more stable access process, while the 2-step RAP significantly reduces access latency. In this paper, two types of MTC devices, using the corresponding RAP, coexist in the network and share the same resource pool. Based on the limited information that the base station possesses during the access process, algorithms for device quantity estimation, as well as resource allocation and ACB control based on this estimation, are designed. Finally, through simulation, we obtain observations on network performance, demonstrating the effectiveness of the proposed algorithm. © 2023 IEEE.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

qrcode

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

Related Researcher

Researcher JIN, HU photo

JIN, HU
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE