DocumentCode :
3151479
Title :
Adaptive multiple Access Class Barring factors for M2M communications in LTE-A Networks
Author :
Gharbi, Sami ; Zangar, Nawel
Author_Institution :
Fac. of Sci. of Tunis, Univ. of Tunis El-Manar, Tunis, Tunisia
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
605
Lastpage :
606
Abstract :
In this paper we propose an algorithm based on adaptive multiple Access Class Barring MACB factors, according to M2M traffic category in order to overcome the Random Access (RA) overload in LTE-A Networks. Simulations were done for testing the performance of our MACB scheme and show that using multiples ACB factors, and dynamically adapt them to the congestion level in addition to traffic type category increase the access probability and reduce overload.
Keywords :
Long Term Evolution; telecommunication traffic; LTE-A Networks; M2M communications; M2M traffic category; MACB factors; RA; adaptive multiple access class barring factors; multiples ACB factors; random access; Adaptation models; Adaptive systems; Broadcasting; Monitoring; Radiation detectors; Radio access networks; Time-frequency analysis; M2M; MACB; RAN Overload;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
Conference_Location :
Las Vegas, NV
ISSN :
2331-9860
Print_ISBN :
978-1-4799-6389-8
Type :
conf
DOI :
10.1109/CCNC.2015.7158044
Filename :
7158044
Link To Document :
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