Performance analysis of an enhanced delay sensitive LTE uplink scheduler for M2M traffic

Afrin, N; Brown, J; Khan, JY

Performance analysis of an enhanced delay sensitive LTE uplink scheduler for M2M traffic

Afrin, N Brown, J

Khan, JY

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Publication Type:: Conference Proceeding
Citation:: 2013 Australasian Telecommunication Networks and Applications Conference, ATNAC 2013, 2013, pp. 154 - 159
Issue Date:: 2013-01-01

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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	2013-01-01	en_US
dc.identifier.citation	2013 Australasian Telecommunication Networks and Applications Conference, ATNAC 2013, 2013, pp. 154 - 159	en_US
dc.identifier.isbn	9781479910816	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120049
dc.description.abstract	The Long Term Evolution (LTE) standard is one of the most promising wireless access technologies for Machine to Machine (M2M) communications because of its high data rates, low latency and economies of scale. M2M communications typically involves a large number of autonomous devices sending traffic in a coordinated manner (and possibly even simultaneously), therefore creating an uplink-heavy trend which needs an efficient radio resource management scheme. The conventional scheduling algorithms and performance metrics are not suitable for M2M systems because of the different characteristics and service requirements of M2M traffic. In this paper, we analyze the performance of an enhanced delay sensitive uplink scheduler in context of LTE TDD configurations 0 and 1 for delay sensitive event based M2M traffic. We show that unlike an ordinary equal capacity fair scheduler, our proposed delay sensitive scheduler can make utmost use of the maximally uplink-biased TDD configuration 0, attaining higher capacity and maximizing the chance of satisfying packet delay budget of M2M traffic. We also introduce a new performance metric called 'Effective Allocated Bits/RB pair' to measure the allocation efficiency of a scheduler, evaluate the performance of the proposed scheduler in terms of this metric and identify the scope of possible improvements. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 Australasian Telecommunication Networks and Applications Conference, ATNAC 2013	en_US
dc.relation.isbasedon	10.1109/ATNAC.2013.6705373	en_US
dc.title	Performance analysis of an enhanced delay sensitive LTE uplink scheduler for M2M traffic	en_US
dc.type	Conference Proceeding
utslib.for	1005 Communications Technologies	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:

The Long Term Evolution (LTE) standard is one of the most promising wireless access technologies for Machine to Machine (M2M) communications because of its high data rates, low latency and economies of scale. M2M communications typically involves a large number of autonomous devices sending traffic in a coordinated manner (and possibly even simultaneously), therefore creating an uplink-heavy trend which needs an efficient radio resource management scheme. The conventional scheduling algorithms and performance metrics are not suitable for M2M systems because of the different characteristics and service requirements of M2M traffic. In this paper, we analyze the performance of an enhanced delay sensitive uplink scheduler in context of LTE TDD configurations 0 and 1 for delay sensitive event based M2M traffic. We show that unlike an ordinary equal capacity fair scheduler, our proposed delay sensitive scheduler can make utmost use of the maximally uplink-biased TDD configuration 0, attaining higher capacity and maximizing the chance of satisfying packet delay budget of M2M traffic. We also introduce a new performance metric called 'Effective Allocated Bits/RB pair' to measure the allocation efficiency of a scheduler, evaluate the performance of the proposed scheduler in terms of this metric and identify the scope of possible improvements. © 2013 IEEE.

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http://hdl.handle.net/10453/120049