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Optimal voice packet classification for enhanced VoIP over priority-enabled networks
Filipe Neves,Salviano Soares,Pedro A. Amado Assuncao 한국통신학회 2018 Journal of communications and networks Vol.20 No.6
This paper proposes a method for optimal classificationof voice packets to enhance the quality of voice communicationsover priority-enabled networks when poor transmission conditionsoccur. Either high or low priority is assigned to each packetaccording to the relevance of its payload (voice segment) for thevoice intelligibility. Then, in case of constrained networking conditions,by discarding first the voice packets of lower importance,the network always delivers those segments that most contributeto the perceptual quality. The proposed method is based on a dynamicprogramming optimisation algorithm that finds the optimalsubset of m high priority voice segments in each utterance of sizen > m. Such optimal subset minimizes the reconstruction distortionover all possible subsets with the same size m (i.e., the distortionincurred by a utterance reconstructed from only m segments). The simulation results show that the proposed method consistentlyachieves higher mean opinion scores (MOS) in comparisonwith non-selective packet drop under the same random networkloss conditions, yielding better quality of experience (QoE)for the same packet loss rates (PLR). The priority classification algorithmis independent from error concealment methods and distortionmetrics used in the optimisation process, which allows generalisationfor diverse communication networks and applications.