Title
Congestion Control Through Dynamic Access Class Barring for Bursty MTC Traffic in Future Cellular Networks
Abstract
The traditional role of cellular networks is centered on human-to-human (H2H) communication, such as voice and data services, therefore, the necessary amendment is mandatory to host the Internet-of-Things (IoT) through machine-to-machine (M2M) communications. This is particularly critical due to the proliferation of the machine-type devices (MTD), which would generate huge traffic in future, which happens to be bursty in nature. The 3GPP has proposed the use of access class barring (ACB) to avoid congestion at each Base Station (BS), using which, each MTD can postpone its request for a random access channel (RACH) with a specific probability value. In this work, we have proposed a dynamic ACB approach in which value of ACB factor is adaptively change according to the traffic load conditions during each time slot. In order to make this idea work practically, the total number of active MTDs are estimated only using the information available at the eNodeB. Simulation results show that our proposed scheme delivers performance very close to the optimum conditions.
Year
DOI
Venue
2018
10.1109/FIT.2018.00038
2018 International Conference on Frontiers of Information Technology (FIT)
Keywords
Field
DocType
congestion control,access class barring,machine-type communication,5G cellular network,future cellular networks
Random-access channel,Base station,Traffic load,Computer science,Internet of Things,Computer network,Cellular network,Network congestion,EnodeB,Data as a service
Conference
ISSN
ISBN
Citations 
2334-3141
978-1-5386-9356-8
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Syed Waqas Haider Shah172.81
Ahmad Talal Riaz200.34
Khalid Iqbal392.89