Network resource allocation for perceptually based unequal packet protection in voice communication
We address the problem of optimizing resource allocation for Perceptually based Unequal Packet Protection (PUPP) in a packet based voice carrying network. For that purpose, we design a novel real-time working Perceptually Based Classifier (PBC) optimizing the assignment of voice packets to either a Premium (Pch) or an Ordinary (Och) transmission Channel with regard to packet perceptual importance.
