Title
Performance of Dynamic Access Class Barring Method in Cellular M2M Networks.
Abstract
Cellular based machine-to-machine (M2M) systems generate massive number of access requests which create congestion in the cellular network. The contention-based random access procedures are designed for cellular networks which cannot accommodate a large number of M2M traffic. In this paper, a contention-based slotted Aloha random access procedure for M2M network is first analyzed using different performance metrics. The impact of massive M2M traffic over cellular traffic is studied based on different arrival rate, random access opportunity and throughput. Then, an analytical model of selecting a base station (eNB) along with load balancing is developed. Finally, a dynamic access class barring method and RAN level congestion control mechanism by selecting the appropriate eNB is presented and evaluated with M2M traffic. Numerical results show that frame transmission rate influences the selection probability of the base stations. Moreover, the dynamic access class barring parameter along with frame transmission rate improve the overall throughput and access success probability among base stations as well as avoid overload situation in a particular base station.
Year
DOI
Venue
2016
10.1007/s11277-016-3540-1
Wireless Personal Communications
Keywords
Field
DocType
Machine-type communication, Dynamic access class barring, Base station selection, Load balancing
Base station,Aloha,Load balancing (computing),Computer science,Cellular traffic,Computer network,Real-time computing,Network congestion,Cellular network,Throughput,Random access
Journal
Volume
Issue
ISSN
91
3
1572-834X
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Lilatul Ferdouse1184.13
Alagan Anpalagan21263125.52
Mohan Nadarajah300.34