Interference-Based Pricing for Opportunistic Multicarrier Cognitive Radio Systems
| Autor: | Sergio Palazzo, Aris L. Moustakas, Salvatore D'Oro, Panayotis Mertikopoulos |
|---|---|
| Přispěvatelé: | Dipartimento di Ingegneria Informatica e delle Telecomunicazioni [University of Catania] (DIIT), Università degli studi di Catania [Catania], Middleware efficiently scalable (MESCAL), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), National and Kapodistrian University of Athens (NKUA), Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Università degli studi di Catania = University of Catania (Unict), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2015 |
| Předmět: |
Computer Science::Computer Science and Game Theory
Mathematical optimization business.industry Computer science Applied Mathematics Computer Science Applications symbols.namesake Cognitive radio Nash equilibrium Robustness (computer science) Dynamic demand Computer Science::Networking and Internet Architecture symbols Wireless Resource management [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Electrical and Electronic Engineering Radio resource management business ComputingMilieux_MISCELLANEOUS Computer Science::Information Theory Computer network Communication channel |
| Zdroj: | IEEE Transactions on Wireless Communications IEEE Transactions on Wireless Communications, Institute of Electrical and Electronics Engineers, 2015, 14 (12), pp.6536-6549 IEEE Transactions on Wireless Communications, 2015, 14 (12), pp.6536-6549 |
| ISSN: | 1536-1276 |
| DOI: | 10.1109/twc.2015.2456063 |
| Popis: | Cognitive radio systems allow opportunistic secondary users (SUs) to access portions of the spectrum that are unused by the network's licensed primary users (PUs), provided that the induced interference does not compromise the PUs' performance guarantees. To account for interference constraints of this type, we consider flexible spectrum access pricing schemes that charge SUs based on the interference that they cause to the system's PUs, and we examine how SUs can react to maximize their achievable transmission rate in this setting. We show that the resulting noncooperative game admits a unique Nash equilibrium under very mild assumptions on the pricing mechanism employed by the network operator and under both static and ergodic (fast-fading) channel conditions. In addition, we derive a dynamic power allocation policy that converges to equilibrium within a few iterations (even for large numbers of users) and that relies only on local—and possibly imperfect—signal-to-interference-and-noise ratio measurements; importantly, the proposed algorithm retains its convergence properties even in the ergodic channel regime, despite its inherent stochasticity. Our theoretical analysis is complemented by extensive numerical simulations that illustrate the performance, robustness, and scalability properties of the proposed pricing scheme under realistic network conditions. |
| Databáze: | OpenAIRE |
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