An Intelligent Perception Model and Parameters Adjust Method for Quality of Experience

With the coming of 5G network era, Quality Experience (QoE), which is used to describe experience quality customers in Direct Connect (DC) network, critical operators and hence has been widely studied. The existing evaluation method for QoE unable dynamically adjust parameters so there will be deviations reflect real when complaint events occur. In this paper, a novel progressive model products formulated. Subsequently, considering customer complaints occurrences represent that previously calculated may mismatch, rules based on application types judge whether needs adjusted are made. Then, dynamic adjustment further developed experience. Finally, obtained experimental result verified proposed perception can accurately characterize satisfaction questionnaires proves effectiveness QoE-aware model. business shows calculation variance reduction rate exceeds more than 50%, indicates better ability