Resource allocation in multiuser multi-carrier cognitive radio network via game and supermarket game theory: Survey, tutorial, and open research directions


Por: Abdul-Ghafoor, OB, Ismail, M, Nordin, R, Shaat, MMR

Publicada: 1 ene 2014
Resumen:
In this tutorial, we integrate the concept of cognitive radio technology into game theory and supermarket game theory to address the problem of resource allocation in multiuser multicarrier cognitive radio networks. In addition, multiuser multicarrier transmission technique is chosen as a candidate to study the resource allocation problem via game and supermarket game theory. This tutorial also includes various definitions, scenarios and examples related to (i) game theory (including both non-cooperative and cooperative games), (ii) supermarket game theory (including pricing, auction theory and oligopoly markets), and (iii) resource allocation in multicarrier techniques. Thus, interested readers can better understand the main tools that allow them to model the resource allocation problem in multicarrier networks via game and supermarket game theory.; In this tutorial article, we first review the most fundamental concepts and architectures of CRNs and subsequently introduce the concepts of game theory, supermarket game theory and common solution to game models such as the Nash equilibrium and the Nash bargaining solution. Finally, a list of related studies is highlighted and compared in this tutorial. © 2014 KSII.

Filiaciones:
Abdul-Ghafoor, OB:
 Univ Kebangsaan Malaysia, Dept Elect Elect & Syst Engn, Bangi 43600, Malaysia

Ismail, M:
 Univ Kebangsaan Malaysia, Dept Elect Elect & Syst Engn, Bangi 43600, Malaysia

Nordin, R:
 Univ Kebangsaan Malaysia, Dept Elect Elect & Syst Engn, Bangi 43600, Malaysia

Shaat, MMR:
 CTTC, Barcelona, Spain
ISSN: 19767277
Editorial
Korea Society of Internet Information, KOR SCI & TECHNOL CTR, 409 ON 4TH FLR, MAIN BLDG, 635-4 YEOKSAM 1-DONG, GANGNAM-GU, SEOUL 00000, SOUTH KOREA
Tipo de documento: Article
Volumen: 8 Número: 11
Páginas: 3674-3710
WOS Id: 000348047900004
imagen Green Submitted, Bronze, All Open Access; Bronze Open Access; Green Open Access

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