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Dynamic Adaptive Access Barring Scheme For Heavily Congested M2M Networks

Published:13 November 2016Publication History

ABSTRACT

The massive deployment of Machine-to-machine (M2M) communications may overwhelm the cellular network by imposing strong constraints on the Radio Access Network (RAN). As the base station cannot accurately get the exact number of M2M arrivals, it cannot really predict the overload status. Consequently, a better estimation of this number would efficiently help to overcome the risk of congestion. In this paper, we proposed a novel fluid model for M2M communications, which allows gaining an enhanced understanding of the dynamics of such systems. The provided analysis of the model was used to devise a new method to estimate accurately the number of M2M devices. We proposed, then, a novel implementation of the ACB process, which dynamically computes the ACB factor according to the network's overload conditions while includes a corrective action adapting the controller action based on the mismatch existing between the computed and the targeted mean load. The simulation results show that the proposed algorithms allow improving considerably the estimation of the number of M2M devices' arrivals, while outperforming existing techniques.

References

  1. . R. Palattella et al., "Internet of Things in the 5G Era: Enablers, Architecture, and Business Models," in IEEE JSAC, vol. 34, no. 3, pp. 510--527, March 2016.Google ScholarGoogle Scholar
  2. . Biral, M. Centenaro, A. Zanella, L. Vangelista, M. Zorzi, phThe challenges of M2M massive access in wireless cellular networks, Digital Com. and Networks, Vol. 1, Issue 1, Pages 1--19, 2015.Google ScholarGoogle Scholar
  3. . Ratasuk, A. Prasad, L. Zexian, A. Ghosh, M. Uusitalo, phRecent advancements in M2M communications in 4G networks and evolution towards 5G, ICIN 2015 , vol., no., pp.52,57, 2015.%\colorredGoogle ScholarGoogle Scholar
  4. isco VNI blog post, ph2015 Cisco VNI Complete Forecast Update: Key Trends Include Mobility, M2M, and Multimedia Content.Google ScholarGoogle Scholar
  5. GPP TS 36.331 : phEvolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification V.12.5.0 Release 10, April 2015.Google ScholarGoogle Scholar
  6. . Ksentini, Y. Hadjadj-Aoul, T. Taleb, phCellular-based machine-to-machine: overload control," IEEE Network, vol.26, no.6, pp.54,60, November 2012.Google ScholarGoogle Scholar
  7. ouzouita M, Hadjadj-Aoul Y, Zangar N, Rubino G and Tabbane S, phMultiple Access Class Barring factors Algorithm for M2M communications in LTE-Advanced Networks, ACM/MSWIM, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. rouk O., Ksentini A. and Taleb T., phGroup Paging-based Energy Saving for Massive MTC Accesses in LTE and Beyond Networks, IEEE JSAC, 2016.Google ScholarGoogle Scholar
  9. ouzouita M, Hadjadj-Aoul Y, Zangar N, Tabbane S and Viho C, phA random access model for M2M communications in LTE-advanced mobile networks, Modeling and Simulation of Computer Networks and Systems, Elsevier, 2015.Google ScholarGoogle Scholar
  10. strom K.J., Hagglund T., phAdvanced PID Control, ISA-The Instrumentation, Systems, and Automation Society, ISBN 1556179421, 2006.Google ScholarGoogle Scholar
  11. GPP TS 36.321, phLTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Medium Access Control (MAC) protocol specification, V.11.3.0 Release 11, July 2013.Google ScholarGoogle Scholar
  12. orless, R., Gonnet, G., Hare, D., Jeffrey, D. and Knuth, D., phOn the Lambert $W$ function, Advances in Computational Mathematics (Berlin, New York: Springer-Verlag) 5: 329--359, 1996.Google ScholarGoogle Scholar
  13. rouk O. and Ksentini A., phMulti-Channel Slotted Aloha Optimization for Machine-Type-Communication, ACM/MSWiM, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        MSWiM '16: Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
        November 2016
        370 pages
        ISBN:9781450345026
        DOI:10.1145/2988287

        Copyright © 2016 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 November 2016

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        MSWiM '16 Paper Acceptance Rate36of138submissions,26%Overall Acceptance Rate398of1,577submissions,25%

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