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Reseach Article

Delay Performance of Packet Scheduling Algorithms in LTE_ based Machine-to- Machine Communications

by A. I. A. Jabbar, Fawaz Y. Abdullah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 10
Year of Publication: 2016
Authors: A. I. A. Jabbar, Fawaz Y. Abdullah

A. I. A. Jabbar, Fawaz Y. Abdullah . Delay Performance of Packet Scheduling Algorithms in LTE_ based Machine-to- Machine Communications. International Journal of Computer Applications. 146, 10 ( Jul 2016), 38-43. DOI=10.5120/ijca2016910951

@article{ 10.5120/ijca2016910951,
author = { A. I. A. Jabbar, Fawaz Y. Abdullah },
title = { Delay Performance of Packet Scheduling Algorithms in LTE_ based Machine-to- Machine Communications },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 10 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016910951 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:50:07.067004+05:30
%A A. I. A. Jabbar
%A Fawaz Y. Abdullah
%T Delay Performance of Packet Scheduling Algorithms in LTE_ based Machine-to- Machine Communications
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 10
%P 38-43
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Introducing efficient M2M networks into the LTE /LTE-A networks can be achieved with careful selection of vital parameter, such as the traffic load (due to a large number of M2M devices) and the behavior of M2M traffic, which differs from traditional mobile traffic. In future, applications like health monitoring vital signs (ECG, heartbeat) and Remote diagnostics are considered to be, the primary M2M application areas. This paper deals with various scheduling algorithms for resource allocation and their impact on real-time traffic in LTE networks. It investigates several traffic M2M models in healthcare monitoring system. It also evaluates the performance of M2M traffic in health monitoring with file transfer (FTP) and Voice users. The maximum delay (CQ) differences between the algorithms are obtained for medical applications. The simulation results indicate that the e-healthcare related data traffic has a significant influence on other LTE traffic.

  1. A.I.A. Jabbar and F. Y.Abdullah, Long Term Evolution (LTE) Scheduling Algorithms in Wireless Sensor Networks (WSN)(2015).Available online:
  2. R. J. Haines, P. Kulkarni, and Z. Fan, M2M Communications for E-Health and Smart Grid: An Industry and Standard Perspective, Available online:
  3. D. K. Mohapatra, e-Health Applications, International Conference on Distributed Computing & Internet Technology (ICDCIT-2013).
  4. Chen, K.C. Machine-to-Machine Communications for Healthcare. J. Comput. Sci. Eng. 2012, 6, 119–126.
  5. ETSI. Machine-to-Machine Communications (M2M): Functional Architecture. Available online:
  6. ETSI. Machine-to-Machine Communications: Use Cases of M2M Applications for eHealth. Available online:
  7. ETSI, TR 102 655, ERM System Reference Document; Short Range Devices (SRD); Low Power Active Medical Implants operating in a 20 MHz band within 2360 MHz to 3400 MHz, 2008.
  8. ITU-T Technology Watch Report on E-Health Standards and Interoperability, April 2012,
  9. CEN/CENELEC/ETSI, Final Report of the CEN/CENELEC/ETSI Joint Working Group on Standards for Smart Grids, 2010.
  10. ETSI TC M2M, TR 102 764, E-health Architecture: Analysis of User Service Models, Technologies & Applications supporting eHealth, 2009.
  11. LAN/MAN Standards Committee of the IEEE Computer Society. IEEE Standard for Local and Metropolitan Area Networks—Part 15.6: Wireless Body Area Networks; IEEE STD 802.15.6-2012: Piscataway, NJ, USA, 2012.
  12. M. K. Soraya and M. Singh, Comparison of Various Scheduling Schemes for Voice over LTE Networks, International Conference on Advances Management and Technology (2013).
  13. Nguyen, Huh, E.-N, T.-D., AI-Saffar, A., A dynamic ID-based authentication scheme. In: Sixth International Conference on Networked Computing, Suwon, South Korea, August 16-18, (2010).
  14. LTE for Devices: Requirements, Deployment Phases, and Target Scenarios. In: 12th European Wireless Conference 2011 - Sustainable Wireless Technologies, Vienna, Austria, (2011).
  15. Subash, T. and S. Indira Gandhi, 2006. Performance Analysis of Scheduling Disciplines in IP Networks, in Proceedings of IEEE's WOCN Third International Conference on Wireless and Optical Communication Networks, (2006).
  16. Ahmad Karim, .Voice Performance Over different service Classes under Various Scheduling Techniques, Australian Journal of Basic and Applied Sciences, (2011).
  17. Demers, A., S. Kasha and S. Shankar, Analysis and Simulation of a Fair Queuing Algorithm, Proceedings of the ACM SIGCOMM, (1989).
  18. E. k., A. S. L., A. A., S. T., M. D. R., L. A., and C. V., A Survey on M2M Systems for eHealth: A Wireless Communications Perspective, Sensors 2014,
  19. Picture Archive and Communication System (PACS).
  20. N. Shea, F. W. Zaki, and S. Keck, Packet scheduling in LTE mobile network International Journal of Scientific, Volume 4, Issue 6, June-2013. 2016
  22. 3GPP R2-111634, "Report of 3GPP TSG RAN WG2 Meeting #72bis" ETSI MCC, Dublin, Ireland, January 17 - 21, 2011.
  23. S. Sesia, I. Toufik, and M. Baker, "LTE –The UMTS Long Term Evolution –From Theory to Practice". John Wiley & Sons, 2011.
Index Terms

Computer Science
Information Sciences


M2M LTE networks Traffic modeling LTE data traffic scheduling algorithms Qos.