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A QoE-Oriented Strategy for OFDMA Radio Resource Allocation Based on Min-MOS Maximization

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3 Author(s)
Claudio Sacchi ; Department of Information Engineering and Computer Science (DISI), University of Trento, Italy ; Fabrizio Granelli ; Christian Schlegel

A balanced strategy for OFDMA radio resource allocation based on game theory concepts is presented. Its main novelty with respect to state-of-the-art methods is that resource allocation is based on application-oriented Mean Opinion Score (MOS), rather than the aggregate system data rate. Thus, users' data flows cooperate in a proactive way in order to jointly maximize the Quality of Experience (QoE). Experimental results show that the MOS achievable by the proposed resource allocation strategy is higher than the one provided by uncoordinated strategies based on water-filling and cooperative strategies based on pure data rate maximization.

Published in:

IEEE Communications Letters  (Volume:15 ,  Issue: 5 )