A MTC traffic generation and QCI priority-first scheduling algorithm over LTE

Ali Aghmadi; Iliass Bouksim; Abdellatif Kobbane; Tarik Taleb

doi:10.1109/WINCOM.2015.7381300

A MTC traffic generation and QCI priority-first scheduling algorithm over LTE

Ali Aghmadi, Iliass Bouksim, Abdellatif Kobbane, Tarik Taleb

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

2 Citations (Scopus)

Abstract

As (M2M) Machine-To-Machine, communication continues to grow rapidly, a full study on overload control approach to manage the data and signaling of H2H traffic from massive MTC devices is required. In this paper, a new M2M resource-scheduling algorithm for Long Term Evolution (LTE) is proposed. It provides Quality of Service (QoS) guarantee to Guaranteed Bit Rate (GBR) services, we set priorities for the critical M2M services to guarantee the transportation of GBR services, which have high QoS needs. Additionally, we simulate and compare different methods and offer further observations on the solution design.

Original language	English
Title of host publication	International Conference on Wireless Networks and Mobile Communications, WINCOM 2015
Publisher	IEEE
Pages	11-16
Number of pages	6
ISBN (Electronic)	978-1-4673-8223-6 , 9781467382243
DOIs	https://doi.org/10.1109/WINCOM.2015.7381300
Publication status	Published - 12 Jan 2016
MoE publication type	A4 Article in a conference publication
Event	International Conference on Wireless Networks and Mobile Communications - Marrakech, Morocco Duration: 20 Oct 2015 → 23 Oct 2015

Conference

Conference	International Conference on Wireless Networks and Mobile Communications
Abbreviated title	WINCOM
Country	Morocco
City	Marrakech
Period	20/10/2015 → 23/10/2015

Keywords

GBR
H2H
LTE
M2M
QoS
scheduling

Access to Document

10.1109/WINCOM.2015.7381300

Link to publication in Scopus

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Cite this

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title = "A MTC traffic generation and QCI priority-first scheduling algorithm over LTE",

abstract = "As (M2M) Machine-To-Machine, communication continues to grow rapidly, a full study on overload control approach to manage the data and signaling of H2H traffic from massive MTC devices is required. In this paper, a new M2M resource-scheduling algorithm for Long Term Evolution (LTE) is proposed. It provides Quality of Service (QoS) guarantee to Guaranteed Bit Rate (GBR) services, we set priorities for the critical M2M services to guarantee the transportation of GBR services, which have high QoS needs. Additionally, we simulate and compare different methods and offer further observations on the solution design.",

keywords = "GBR, H2H, LTE, M2M, QoS, scheduling",

author = "Ali Aghmadi and Iliass Bouksim and Abdellatif Kobbane and Tarik Taleb",

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Aghmadi, A, Bouksim, I, Kobbane, A & Taleb, T 2016, A MTC traffic generation and QCI priority-first scheduling algorithm over LTE. in International Conference on Wireless Networks and Mobile Communications, WINCOM 2015., 7381300, IEEE, pp. 11-16, International Conference on Wireless Networks and Mobile Communications, Marrakech, Morocco, 20/10/2015. https://doi.org/10.1109/WINCOM.2015.7381300

A MTC traffic generation and QCI priority-first scheduling algorithm over LTE. / Aghmadi, Ali; Bouksim, Iliass; Kobbane, Abdellatif; Taleb, Tarik.

International Conference on Wireless Networks and Mobile Communications, WINCOM 2015. IEEE, 2016. p. 11-16 7381300.

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

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AB - As (M2M) Machine-To-Machine, communication continues to grow rapidly, a full study on overload control approach to manage the data and signaling of H2H traffic from massive MTC devices is required. In this paper, a new M2M resource-scheduling algorithm for Long Term Evolution (LTE) is proposed. It provides Quality of Service (QoS) guarantee to Guaranteed Bit Rate (GBR) services, we set priorities for the critical M2M services to guarantee the transportation of GBR services, which have high QoS needs. Additionally, we simulate and compare different methods and offer further observations on the solution design.

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