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AuthorBen Ghorbel M.
AuthorHamdaoui B.
AuthorGuizani M.
AuthorMohamed A.
Available date2019-10-17T07:44:37Z
Publication Date2018
Publication NameIEEE Transactions on Wireless Communications
ResourceScopus
ISSN15361276
URIhttp://dx.doi.org/10.1109/TWC.2018.2803181
URIhttp://hdl.handle.net/10576/12136
AbstractWith the emergence of smart grids, adopting dynamic energy pricing models has become both possible and desirable. With such a pricing dynamicity, great savings in energy costs can be achieved in telecommunication systems when energy is procured efficiently through carefully designed real-time resource schedulers. Broadly speaking, existing scheduling algorithms can be categorized into two classes: online and off-line. Off-line algorithms are not practical merely because of their need for prior knowledge of future system information. In this paper, we propose an efficient online power procurement and allocation scheduler that maximizes a long-term system utility function without the need for prior knowledge of future system information, where the system utility function is expressed in such a way that the gain coming from serving the users and the cost of the procured energy are traded off for one another. We propose an approach that allows us to derive closed-form instantaneous energy procurement and resource allocations that are functions only of the actual instantaneous system parameters. Our approach computes the optimal power procurement and users' allocation per time slot in an online fashion with very low computational complexity. Using simulations, we study the efficiency of the proposed approach under various parameters and quantify the energy costs that our approach can potentially save. - 2018 IEEE.
SponsorManuscript received November 29, 2016; revised May 26, 2017, August 28, 2017, and November 30, 2017; accepted February 2, 2018. Date of publication February 23, 2018; date of current version May 8, 2018. This work was supported by NPRP from the Qatar National Research Fund (a member of Qatar Foundation) under Grant NPRP 8-408-2-172. The statements made herein are solely the responsibility of the authors. The associate editor coordinating the review of this paper and approving it for publication was R. Hu. (Corresponding author: Mohsen Guizani.) M. Ben Ghorbel is with the School of Engineering, The University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada (e-mail: mahdi.benghorbel@ubc.ca).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectEnergy procurement
resource allocation
scheduling
smart grids
TitleLong-Term Power Procurement Scheduling Method for Smart-Grid Powered Communication Systems
TypeArticle
Pagination2882-2892
Issue Number5
Volume Number17
dc.accessType Abstract Only


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