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Chang, Chia-Wei, Lin, Yi-Hao, Ren, Yi 
ORCID: https://orcid.org/0000-0001-7423-6719 and Chen, Jyh-Cheng
(2017)
Congestion Control for Machine-Type Communications in LTE-A Networks.
In:
2016 IEEE Global Communications Conference (GLOBECOM).
The Institute of Electrical and Electronics Engineers (IEEE), USA.
ISBN 978-1-5090-1329-6
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Abstract
Collecting data from a tremendous amount of Internet-of-Things (IoT) devices for next generation networks is a big challenge. A large number of devices may lead to severe congestion in Radio Access Network (RAN) and Core Network (CN). 3GPP has specified several mechanisms to handle the congestion caused by massive amounts of devices. However, detailed settings and strategies of them are not defined in the standards and are left for operators. In this paper, we propose two congestion control algorithms which efficiently reduce the congestion. Simulation results demonstrate that the proposed algorithms can achieve 20~40% improvement regarding accept ratio, overload degree and waiting time compared with those in LTE-A.
| Item Type: | Book Section |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 26 Jan 2018 15:30 |
| Last Modified: | 10 Dec 2024 01:11 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/66103 |
| DOI: | 10.1109/GLOCOM.2016.7841680 |
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