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Proceedings Paper

Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks
Author(s): Alexandros Fragkoulis; Lisimachos P. Kondi; Konstantinos E. Parsopoulos
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Paper Abstract

We propose a method for the fair and efficient allocation of wireless resources over a cognitive radio system network to transmit multiple scalable video streams to multiple users. The method exploits the dynamic architecture of the Scalable Video Coding extension of the H.264 standard, along with the diversity that OFDMA networks provide. We use a game-theoretic Nash Bargaining Solution (NBS) framework to ensure that each user receives the minimum video quality requirements, while maintaining fairness over the cognitive radio system. An optimization problem is formulated, where the objective is the maximization of the Nash product while minimizing the waste of resources. The problem is solved by using a Swarm Intelligence optimizer, namely Particle Swarm Optimization. Due to the high dimensionality of the problem, we also introduce a dimension-reduction technique. Our experimental results demonstrate the fairness imposed by the employed NBS framework.

Paper Details

Date Published: 4 March 2015
PDF: 11 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100E (4 March 2015); doi: 10.1117/12.2077117
Show Author Affiliations
Alexandros Fragkoulis, Univ. of Ioannina (Greece)
Lisimachos P. Kondi, Univ. of Ioannina (Greece)
Konstantinos E. Parsopoulos, Univ. of Ioannina (Greece)


Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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