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.
|Title of host publication||2016 IEEE Global Communications Conference (GLOBECOM)|
|Publication status||Published - 6 Feb 2017|
|Event||GLOBECOM 2016 - 2016 IEEE Global Communications Conference - Washington, DC, USA|
Duration: 4 Dec 2016 → 8 Dec 2016
|Conference||GLOBECOM 2016 - 2016 IEEE Global Communications Conference|
|Period||4/12/16 → 8/12/16|