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Open AccessArticle

Game Theoretic Spectrum Allocation in Femtocell Networks for Smart Electric Distribution Grids

1
Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
2
Department of Electrical and Electronic Eng, Shiraz University of Technology, Shiraz 71557-13876, Iran
3
Regional Information Center for Science and Technology, Shiraz 71946-94171, Iran
4
Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA
*
Author to whom correspondence should be addressed.
Energies 2018, 11(7), 1635; https://doi.org/10.3390/en11071635
Received: 24 May 2018 / Revised: 14 June 2018 / Accepted: 18 June 2018 / Published: 22 June 2018
(This article belongs to the Special Issue Distribution System Operation and Control)
Ever growing penetration of the behind-the-meter technologies is changing the electricity consumption profiles of end-users. Intelligent coordination of these emerging technologies through a robust communication infrastructure enables their seamless integration with electric utilities’ operation. In this context, an efficient and reliable communication infrastructure plays a pivotal role in enabling optimal integration of emerging resources. In this paper, we propose a game-theory based method to enhance efficiency of the underlying communication network. Specifically, we focus on Femtocell communication technology which is one the promising options for improving poor indoor communication coverage. The major drawback for using femtocell communication technology is cross-layer interference of femto users (FUs) and macro users (MUs) which adversely impact network performance. In this paper, we propose a novel approach for sharing spectrum in a cognitive radio system with FUs and MUs as primary and secondary users, respectively. The underlying problem is formulated as Stackelberg game that is joined with a convex optimization problem. In this study, MUs and FUs are assumed to be selfish, rational and motivated to achieve maximum utility function, while MUs are competing to obtain maximum bandwidth. Finally, we present a closed form solution for the proposed approach which obtains a unique Nash Equilibrium and prioritizes the access of MUs to femto-base stations. Simulation results provide proof of concept and verify the effectiveness of our mathematical modeling. View Full-Text
Keywords: smart grid; femtocell; macro; bandwidth allocation; Stackelberg game; convex optimization; hybrid access; interference smart grid; femtocell; macro; bandwidth allocation; Stackelberg game; convex optimization; hybrid access; interference
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MDPI and ACS Style

Mohammadi, A.; Dehghani, M.J.; Ghazizadeh, E. Game Theoretic Spectrum Allocation in Femtocell Networks for Smart Electric Distribution Grids. Energies 2018, 11, 1635. https://doi.org/10.3390/en11071635

AMA Style

Mohammadi A, Dehghani MJ, Ghazizadeh E. Game Theoretic Spectrum Allocation in Femtocell Networks for Smart Electric Distribution Grids. Energies. 2018; 11(7):1635. https://doi.org/10.3390/en11071635

Chicago/Turabian Style

Mohammadi, Ali; Dehghani, Mohammad J.; Ghazizadeh, Elham. 2018. "Game Theoretic Spectrum Allocation in Femtocell Networks for Smart Electric Distribution Grids" Energies 11, no. 7: 1635. https://doi.org/10.3390/en11071635

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