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

Ali Mohammadi, Mohammad Javad Dehghani and Elham Ghazizadeh
Additional contact information
Ali Mohammadi: Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Mohammad Javad Dehghani: Department of Electrical and Electronic Eng, Shiraz University of Technology, Shiraz 71557-13876, Iran
Elham Ghazizadeh: Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA

Energies, 2018, vol. 11, issue 7, 1-18

Abstract: 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.

Keywords: smart grid; femtocell; macro; bandwidth allocation; Stackelberg game; convex optimization; hybrid access; interference (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/7/1635/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/7/1635/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:7:p:1635-:d:153955

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().