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

Author

Sacchi, Claudio ; Granelli, Fabrizio ; Schlegel, Christian

Author_Institution

Dept. of Inf. Eng. & Comput. Sci. (DISI), Univ. of Trento, Trento, Italy

Volume

15

Issue

5

fYear

2011

fDate

5/1/2011 12:00:00 AM

Firstpage

494

Lastpage

496

Abstract

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.

Keywords

OFDM modulation; game theory; radiocommunication; resource allocation; OFDMA radio resource allocation; QoE-oriented strategy; aggregate system data rate; application-oriented mean opinion score; data flow; game theory; min-MOS maximization; pure data rate maximization; quality of experience; Delay; Games; Indexes; OFDM; Quality of service; Resource management; Signal to noise ratio; OFDMA; QoE; QoS; game theory; radio resource allocation;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2011.031411.101672

Filename

5739164