Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104988
Title: Oligopolistic spectrum allocation game via market competition under spectrum broker
Authors: La, Quang Duy
Chew, Yong Huat
Soong, Boon Hee
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2014
Source: La, Q. D., Chew, Y. H., & Soong, B. H. (2014). Oligopolistic spectrum allocation game via market competition under spectrum broker. Computer Networks, 70, 225-239.
Series/Report no.: Computer networks
Abstract: For future dynamic spectrum access (DSA) systems, new spectrum management methodologies will be adopted such that the licensed primary spectrum holders can reallocate part of their available bandwidth to the unlicensed secondary service providers for profits, based on market-driven mechanisms. This is known as spectrum market or spectrum trading. This paper aims to propose a dynamic spectrum market model where each spectrum holder has a limited amount of spectrum and is allowed to enter a portion of its available bandwidth into the market managed by a spectrum broker, besides its primary services. To model the price dynamics, a continuous-time price adjustment process governed by a differential equation is considered. Subsequently, we show that the problem is a dynamic N-player oligopoly differential game, subject to the bandwidth constraint. We analyze the feedback Nash equilibrium (NE) solutions for the general game and provide a complete, closed-form solution for the special symmetric case. The solution can be characterized into three distinct regions and transitions between these regions may occur as time evolves, which will be thoroughly investigated. In addition, we propose a discrete-time price adjustment implemented at the spectrum broker. Extensive numerical studies are provided to investigate various aspects of the proposed competition.
URI: https://hdl.handle.net/10356/104988
http://hdl.handle.net/10220/20403
DOI: 10.1016/j.comnet.2014.05.009
Rights: © 2014 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Computer Networks, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.comnet.2014.05.009].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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