Learning automaton based adaptive access barring for M2M communications in LTE network

Faezeh Morvari; Abdorasoul Ghasemi

doi:10.1109/IranianCEE.2016.7585752

Learning automaton based adaptive access barring for M2M communications in LTE network

Faezeh Morvari, Abdorasoul Ghasemi

K.N.Toosi University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

3 Citations (Scopus)

Abstract

Massive access of machine-to-machine (M2M) devices over long term evolution (LTE) network as infrastructure is a challenging problem due to the possible overload in the radio access network (RAN). The access class barring (ACB) scheme is an efficient and simple scheme which is proposed in the 3GPP documents to relieve the massive access by barring some M2M devices in each contention cycle. In this paper, we propose a learning automaton (LA) based algorithm to adaptively and dynamically adjust the ACB factor at evolved Node B (eNB) taking into account the number of collided preambles in the previous contention cycle. We show that by using an appropriate LA at the eNB, the system performance asymptotically converges to the optimal performance in which the eNB knows the number of access-attempting devices a priori. Simulation results are provided to show the performance of the proposed approach in adjusting the barring factor properly.

Original language	English
Title of host publication	2016 24th Iranian Conference on Electrical Engineering (ICEE)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1466-1470
Number of pages	5
ISBN (Electronic)	978-1-4673-8789-7
ISBN (Print)	978-1-4673-8790-3
DOIs	https://doi.org/10.1109/IranianCEE.2016.7585752
Publication status	Published - 10 Oct 2016
Externally published	Yes
Event	24th Iranian Conference on Electrical Engineering - Shiraz, Iran, Islamic Republic of Duration: 10 May 2016 → 12 May 2016

Publication series

Name	2016 24th Iranian Conference on Electrical Engineering, ICEE 2016

Conference

Conference	24th Iranian Conference on Electrical Engineering
Abbreviated title	ICEE 2016
Country/Territory	Iran, Islamic Republic of
City	Shiraz
Period	10/05/16 → 12/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Access class barring
Learning automaton
Machine-to-machine communication
RAN overload

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Optimization
Computer Networks and Communications

Access to Document

10.1109/IranianCEE.2016.7585752

Cite this

Morvari, F., & Ghasemi, A. (2016). Learning automaton based adaptive access barring for M2M communications in LTE network. In 2016 24th Iranian Conference on Electrical Engineering (ICEE) (pp. 1466-1470). Article 7585752 (2016 24th Iranian Conference on Electrical Engineering, ICEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IranianCEE.2016.7585752

Learning automaton based adaptive access barring for M2M communications in LTE network. / Morvari, Faezeh; Ghasemi, Abdorasoul.
2016 24th Iranian Conference on Electrical Engineering (ICEE). Institute of Electrical and Electronics Engineers Inc., 2016. p. 1466-1470 7585752 (2016 24th Iranian Conference on Electrical Engineering, ICEE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Morvari, F & Ghasemi, A 2016, Learning automaton based adaptive access barring for M2M communications in LTE network. in 2016 24th Iranian Conference on Electrical Engineering (ICEE)., 7585752, 2016 24th Iranian Conference on Electrical Engineering, ICEE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1466-1470, 24th Iranian Conference on Electrical Engineering, Shiraz, Iran, Islamic Republic of, 10/05/16. https://doi.org/10.1109/IranianCEE.2016.7585752

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Learning automaton based adaptive access barring for M2M communications in LTE network

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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