quality of experience

We present two examples of using machine learning to improve end-user quality of experience (QoE) in cellular networks operating today. In particular, we demonstrate how to automate the clearing of operational faults in outdoor networks and compensation of signal impairments in indoor networks for voice-over-LTE (VoLTE) applications. Our proposed methods are compatible with 3GPP LTE Release 8 and higher.

When it comes to video and image processing for the future, many factors as diverse as user perception and quality of experience, as well as effectively harvesting the energy required for advanced forms of video display come into play.

Through his LIVE lab research, WNCG Prof. Alan Bovik and students lay the groundwork for video and related networks of the future.