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

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
A. I. A. Jabbar, Fawaz Y. Abdullah
10.5120/ijca2016910951

A I A Jabbar and Fawaz Y Abdullah. Delay Performance of Packet Scheduling Algorithms in LTE_ based Machine-to- Machine Communications. International Journal of Computer Applications 146(10):38-43, July 2016. BibTeX

@article{10.5120/ijca2016910951,
	author = {A. I. A. Jabbar and 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 = {July 2016},
	volume = {146},
	number = {10},
	month = {Jul},
	year = {2016},
	issn = {0975-8887},
	pages = {38-43},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume146/number10/25438-2016910951},
	doi = {10.5120/ijca2016910951},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

References

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Keywords

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