Optimal Access Class Barring in Machine to Machine Systems with Random Activation Time

Shah-Mansouri, Vahid; Srinivasan, Seshadhri; Balas, Valentina E.

doi:10.15388/Informatica.2017.130

Informatica

Optimal Access Class Barring in Machine to Machine Systems with Random Activation Time

Volume 28, Issue 2 (2017), pp. 285–302

Vahid Shah-Mansouri Seshadhri Srinivasan Valentina E. Balas

https://doi.org/10.15388/Informatica.2017.130

Pub. online: 1 January 2017 Type: Research Article

Open Access

Received
1 October 2015

Accepted
1 October 2016

Published
1 January 2017

Abstract

Machine type communication (MTC) systems are a new paradigm in communication systems where machines talk to each other rather than humans. It is expected that more than twenty billion smart devices are deployed around the globe by 2020. The machines talk to each other and communicate with cloud based MTC servers to monitor and control everything around us. Such ubiquitous sensing and actuating require a communication infrastructure. Cellular networks due to their wide coverage are the best candidate for the communication infrastructure. The 3GPP LTE system is the future cellular network. Access class barring (ACB) is introduced by the standard as a solution to alleviate the congestion at the access layer. It works as a persistent probability for network access at the data link layer. In this paper, we consider an MTC system with several devices using LTE system as communication network. Based on the suggestions of the 3GPP standard, we consider uniform activation of devices within a long interval. This activation pattern results in Poisson arrival traffic in each random access channel. Using this arrival traffic pattern, we obtain the ACB factor which maximizes the throughput in the access link. This factor depends on the traffic parameters. Then, we propose a scheme to estimate the traffic parameters. At the end, we propose an algorithm which takes into account practical considerations. We validate our analytical models through extensive simulations.

References

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Biographies

Shah-Mansouri Vahid

vmansouri@ut.ac.ir

V. Shah-Mansouri is an asst. professor, Department of Electrical and Computer Engineering in University of Tehran, Iran. He obtained his PhD from University of British Columbia, and master’s from Sharif University of Technology, Iran. He has authored many papers in national and international journals and conferences.

Srinivasan Seshadhri

seshadhri@ieee.org

S. Srinivasan obtained his PhD from National Institute of Technology-Tiruchirappalli, India in 2010. He has worked with ABB GISL, TUT, Estonia, Technical University of Munich, Germany, and University of Sannio, Italy. Currently he is the Director of Center for Automatic Control Engineering, Kalasalingam University, India. He has published over 45 journals and 40 conference articles.

Balas Valentina E.

valentina.balas@uav.ro

V.E. Balas is currently a full-time professor in the Department of Automatics and Applied Software at the Faculty of Engineering, Aurel Vlaicu University of Arad, Romania. She holds a PhD in applied electronics and telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 250 research papers in refereed journals and international conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modelling and simulation.

She is the editor-in chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and of the International Journal of Computational Systems Engineering (IJCSysE), member in editorial board of several national and international journals and is the evaluator expert for national and international projects. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. She served as general chair of the International Workshop Soft Computing and Applications (SOFA) in seven editions 2005–2016 held in Romania and Hungary.

Dr. Balas participated in many international conferences as the organizer, honorary chair, session chair and member in steering, advisory or international program committees.

She is a member of EUSFLAT, SIAM and a senior member of IEEE, member of TC – Fuzzy Systems (IEEE CIS), member of TC – Emergent Technologies (IEEE CIS), member of TC – Soft Computing (IEEE SMCS). Dr. Balas was vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013–2015) and is a joint secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), a multidisciplinary academic body, India.

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Keywords

machine type communication congestion control access class barring

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