An adaptive buffer based semi-persistent scheduling scheme for machine-to-machine communications over LTE

Afrin, N; Brown, J; Khan, JY

An adaptive buffer based semi-persistent scheduling scheme for machine-to-machine communications over LTE

Afrin, N Brown, J

Khan, JY

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014, 2014, pp. 260 - 265
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Afrin, N	en_US
dc.contributor.author	Brown, J https://orcid.org/0000-0002-0698-5758	en_US
dc.contributor.author	Khan, JY	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Proceedings - 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014, 2014, pp. 260 - 265	en_US
dc.identifier.isbn	9781479950737	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121295
dc.description.abstract	© 2014 IEEE. One of the key characteristics of cellular Machine-to-Machine (M2M) communications is the generation of small data packets by a large number of devices. The excessive control signaling required for dynamic scheduling of such uplink data in the Long Term Evolution (LTE) standard impedes the deployment of LTE networks for M2M communications. Traditional Semi-persistent scheduling (SPS) reduces the load on control channel but it is currently only developed for constant data rate voice packets. For realistic M2M environments, non-deterministic data traffic needs to be served in a resource efficient way. In this paper, we propose a buffer based adaptive SPS scheme for the LTE uplink which does not require the control signaling overhead of dynamic scheduling, but offers the same flexibility of increasing or decreasing the number of allocated radio resource blocks according to the latest buffer status of the device. We examine the influence of SPS periodicity on quality of Service (QoS) satisfaction of delay constrained stochastic M2M traffic and compare the performance of the proposed adaptive SPS scheme with rigid fixed allocation SPS schemes for such traffic. We also demonstrate how the adaptive SPS scheme can be implemented in a resource efficient way to meet the QoS requirements of a large number of machine type nodes through data aggregation.	en_US
dc.relation.ispartof	Proceedings - 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014	en_US
dc.relation.isbasedon	10.1109/NGMAST.2014.48	en_US
dc.title	An adaptive buffer based semi-persistent scheduling scheme for machine-to-machine communications over LTE	en_US
dc.type	Conference Proceeding
utslib.for	0999 Other Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. One of the key characteristics of cellular Machine-to-Machine (M2M) communications is the generation of small data packets by a large number of devices. The excessive control signaling required for dynamic scheduling of such uplink data in the Long Term Evolution (LTE) standard impedes the deployment of LTE networks for M2M communications. Traditional Semi-persistent scheduling (SPS) reduces the load on control channel but it is currently only developed for constant data rate voice packets. For realistic M2M environments, non-deterministic data traffic needs to be served in a resource efficient way. In this paper, we propose a buffer based adaptive SPS scheme for the LTE uplink which does not require the control signaling overhead of dynamic scheduling, but offers the same flexibility of increasing or decreasing the number of allocated radio resource blocks according to the latest buffer status of the device. We examine the influence of SPS periodicity on quality of Service (QoS) satisfaction of delay constrained stochastic M2M traffic and compare the performance of the proposed adaptive SPS scheme with rigid fixed allocation SPS schemes for such traffic. We also demonstrate how the adaptive SPS scheme can be implemented in a resource efficient way to meet the QoS requirements of a large number of machine type nodes through data aggregation.

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http://hdl.handle.net/10453/121295