Patent ID: 9088768
Filing Date: 2015-07-21
Classification: H04L,H04N

Abstract:
1. A method for processing quality of service data to provide a prediction of quality of experience, comprising: providing a plurality of services across a network to a plurality of subscribers wherein each of the subscribers has subscribed for the services; performing a plurality of speed tests to determine an average network speed for a set of subscribers of the plurality of subscribers and foregoing performing the plurality of speed tests on subscribers other than the set of subscribers, the speed tests being performed by a plurality of speed test servers arranged throughout the network to provide sufficient data for statistical modeling of the average network speed for each subscriber of the set of subscribers; varying states for a plurality of network parameters affecting a level of service being provided to the set of subscribers, wherein the varying states for the plurality of network parameters affecting the level of service being provided to the set of subscribers further comprises varying and measuring latency, jitter, packet loss, signal power, signal quality, transmit and receive level, and signal-to-noise ratio; while varying the states of the plurality of network parameters, obtaining feedback over the network from the set of subscribers indicating a level of satisfaction with the service being provided to the set of subscribers; statistically analyzing the average network speed and the feedback to identify a correlation between the states for the plurality of network parameters and the level of satisfaction with the service being provided to the set of subscribers by performing regression analysis on the plurality of network parameters; producing scores representing a predicted quality of experience for the set of subscribers based upon the statistically analyzed feedback; and providing the services over the network to the plurality of subscribers including subscribers other than the set of subscribers based on the scores produced based upon the statistical analyzed feedback.