QoS-driven radio resource allocation for OFDMA networks based on a game theoretical approach

Authors:
Claudio Sacchi;Fabrizio Granelli
Affiliations:
University of Trento, Department of Information Engineering and Computer Science, Povo, Trento, Italy;University of Trento, Department of Information Engineering and Computer Science, Povo, Trento, Italy
Venue:
MACOM'10 Proceedings of the Third international conference on Multiple access communications
Year:
2010

Citing 4
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Abstract

In this paper, we propose a cooperative strategy for OFDMA radio resource allocation based on game theory. The main novelty with respect to state-of-the-art is that the utility function considers the application-oriented Mean Opinion Score (MOS) rather than the gross data rate attributed to each user flow. In such a scenario, data flows compete in cooperative way in order to maximize the perceived Quality-of-Service (QoS). Experimental results show that the MOS achievable by the proposed resource allocation strategy is better than that one provided both by uncoordinated strategies based on water-filling and by cooperative strategies based on pure data rate maximization.