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D-GRACE: Discounted Spectrum Price Game-Based Resource Allocation in a Competitive Environment for TVWS Networks

Anabi, Hilary Kelechi and NOR, FADZILAH ABDULLAH and ROSDIADEE, NORDIN and MAHAMOD, ISMAIL (2017) D-GRACE: Discounted Spectrum Price Game-Based Resource Allocation in a Competitive Environment for TVWS Networks. IEEE Access, 5. pp. 7579-7592.

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Abstract

The IEEE 802.22 standard targets rural and sparsely populated regions exploiting television white space (TVWS) technology. In these regions, there are fewer mobile users per density and end-user traf�c is light. Hence, there is a need to adopt traf�c aware algorithm leveraging on the end-user nonuniform traf�c attributes and in essence, promote spectrum ef�ciency in the TVWS spectrum-management regime. This paper investigates a mechanism to encourage spectrum sharing during low end-user traf�c regime motivated by �nancial inducement. Since incumbent coexistence has been achieved using market models, it is tractable to apply market-assisted spectrum sharing models to address self-coexistence issues in TVWS networks. The purpose of this paper is to use the market model to promote self-coexistence in TVWS networks in the uplink self-frequency reuse. Toward this goal, this paper proposes discounted spectrum price game-based resource allocation in a competitive environment (D-GRACE). Speci�cally, D-GRACE is a transmit power reduction strategy motivated by �nancial incentives during light TVWS end-user traf�c. When compared with an existing non-market-inspired TVWS self-coexistence resource allocation algorithm under the same scenario, D-GRACE exhibited superior power savings of about 20% and converged after �ve iterations.

Item Type: Article
Uncontrolled Keywords: IEEE 802.22, self-coexistence, game theory, transmit power algorithm, sub-carrier allocation.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 28 Jan 2020 13:19
Last Modified: 28 Jan 2020 13:19
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/13063

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