An adaptive RRM scheme for smart grid M2M applications over a WiMAX network

Khan, RH; Mahata, K; Brown, J

An adaptive RRM scheme for smart grid M2M applications over a WiMAX network

Khan, RH Mahata, K Brown, J

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Publication Type:: Conference Proceeding
Citation:: 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014, 2014, pp. 820 - 825
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Khan, RH	en_US
dc.contributor.author	Mahata, K	en_US
dc.contributor.author	Brown, J https://orcid.org/0000-0002-0698-5758	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014, 2014, pp. 820 - 825	en_US
dc.identifier.isbn	9781479925810	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120271
dc.description.abstract	© 2014 IEEE. This paper presents an adaptive radio resource management (RRM) scheme to meet the diverse QoS requirements of bursty machine-to-machine (M2M) applications in the Smart Grid. The key features of the proposed RRM scheme include a differentiated random access scheme based on the virtual ranging channel (VRC) concept; a dynamic rangingcode allocation scheme to ensure an efficient utilization of the random access resources; and a prioritized grant allocation scheme to meet the delay bounds of the time critical data-packets. The performance of the proposed RRM scheme is demonstrated using an OPNET simulation model, and benchmarked against the conventional scheme.	en_US
dc.relation.ispartof	2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014	en_US
dc.relation.isbasedon	10.1109/CSNDSP.2014.6923940	en_US
dc.title	An adaptive RRM scheme for smart grid M2M applications over a WiMAX network	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. This paper presents an adaptive radio resource management (RRM) scheme to meet the diverse QoS requirements of bursty machine-to-machine (M2M) applications in the Smart Grid. The key features of the proposed RRM scheme include a differentiated random access scheme based on the virtual ranging channel (VRC) concept; a dynamic rangingcode allocation scheme to ensure an efficient utilization of the random access resources; and a prioritized grant allocation scheme to meet the delay bounds of the time critical data-packets. The performance of the proposed RRM scheme is demonstrated using an OPNET simulation model, and benchmarked against the conventional scheme.

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http://hdl.handle.net/10453/120271