Congestion Control for Machine-Type Communications in LTE-A Networks

Chia-Wei Chang, Yi-Hao Lin, Yi Ren, Jyh-Cheng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)
22 Downloads (Pure)


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.
Original languageEnglish
Title of host publication2016 IEEE Global Communications Conference (GLOBECOM)
PublisherThe Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)978-1-5090-1328-9
ISBN (Print)978-1-5090-1329-6
Publication statusPublished - 6 Feb 2017
EventGLOBECOM 2016 - 2016 IEEE Global Communications Conference - Washington, DC, USA, Washington DC, United States
Duration: 4 Dec 20168 Dec 2016


ConferenceGLOBECOM 2016 - 2016 IEEE Global Communications Conference
Country/TerritoryUnited States
CityWashington DC

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