DocumentCode :
120607
Title :
An adaptive RRM scheme for smart grid M2M applications over a WiMAX network
Author :
Khan, Reduan H. ; Mahata, Kaushik ; Brown, Jason
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
fYear :
2014
fDate :
23-25 July 2014
Firstpage :
820
Lastpage :
825
Abstract :
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.
Keywords :
WiMax; quality of service; radio networks; smart power grids; telecommunication network management; wireless channels; OPNET simulation model; VRC concept; WiMAX network; adaptive RRM scheme; adaptive radio resource management; differentiated random access scheme; diverse QoS requirements; dynamic ranging code allocation; machine-to-machine applications; random access resources; smart grid M2M applications; time critical data packets; virtual ranging channel; Bandwidth; Delays; Distance measurement; Quality of service; Resource management; Smart grids; WiMAX; M2M; Radio Resource Management; Random Access; Smart Grid; WiMAX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/CSNDSP.2014.6923940
Filename :
6923940
Link To Document :
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