Predictive allocation of resources in the LTE uplink based on maximum likelihood estimation of event propagation characteristics for M2M applications

Brown, J; Khan, JY

Predictive allocation of resources in the LTE uplink based on maximum likelihood estimation of event propagation characteristics for M2M applications

Brown, J

Khan, JY

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Publication Type:: Conference Proceeding
Citation:: 2014 IEEE Global Communications Conference, GLOBECOM 2014, 2014, pp. 4965 - 4970
Issue Date:: 2014-02-09

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Field	Value	Language
dc.contributor.author	Brown, J https://orcid.org/0000-0002-0698-5758	en_US
dc.contributor.author	Khan, JY	en_US
dc.date.issued	2014-02-09	en_US
dc.identifier.citation	2014 IEEE Global Communications Conference, GLOBECOM 2014, 2014, pp. 4965 - 4970	en_US
dc.identifier.isbn	9781479935116	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120225
dc.description.abstract	© 2014 IEEE. We propose a predictive resource allocation scheme for the LTE uplink based upon Maximum Likelihood Estimation of event propagation characteristics for M2M/Smart Grid applications. The LTE eNodeB estimates the inter-sensor propagation time of a disturbance using the pattern and timing of received Scheduling Requests (SRs) from sensors and then proceeds to predict the time at which the disturbance will reach downstream sensors, facilitating predictive uplink grants for these sensors in order to reduce the mean latency of their uplink data packets by up to 50% (according to a performance analysis) compared to the existing standard reactive LTE uplink resource allocation scheme. A further benefit is that when a predictive resource allocation is successful, the sensor does not need to send an SR, thereby freeing up uplink resources which can be critical with M2M communications. We consider various transition strategies from the estimation to prediction phases which reflect the compromise between estimation speed and accuracy, and also examine the concept of early and late prediction.	en_US
dc.relation.ispartof	2014 IEEE Global Communications Conference, GLOBECOM 2014	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2014.7037592	en_US
dc.title	Predictive allocation of resources in the LTE uplink based on maximum likelihood estimation of event propagation characteristics for M2M applications	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. We propose a predictive resource allocation scheme for the LTE uplink based upon Maximum Likelihood Estimation of event propagation characteristics for M2M/Smart Grid applications. The LTE eNodeB estimates the inter-sensor propagation time of a disturbance using the pattern and timing of received Scheduling Requests (SRs) from sensors and then proceeds to predict the time at which the disturbance will reach downstream sensors, facilitating predictive uplink grants for these sensors in order to reduce the mean latency of their uplink data packets by up to 50% (according to a performance analysis) compared to the existing standard reactive LTE uplink resource allocation scheme. A further benefit is that when a predictive resource allocation is successful, the sensor does not need to send an SR, thereby freeing up uplink resources which can be critical with M2M communications. We consider various transition strategies from the estimation to prediction phases which reflect the compromise between estimation speed and accuracy, and also examine the concept of early and late prediction.

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http://hdl.handle.net/10453/120225