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