Streaming media quality of experience prediction for network slice selection in 5G networks

A non-transitory computer-readable medium containing instructions for predicting streaming media Quality of Experience (QoE) for network slice selection in 5G networks, which, when executed, cause a system to perform steps comprising:

• developing a mathematical model of QoE parameters at base station transmitters;
• providing feedback from the models to a Quality of Service (QoS) manager;
• selecting, by the QoS manager based on the feedback from the models, a 5G network slice that meets QoS requirements for allocation to a user;
• and
• evaluating a buffer underflow probability or a buffer overflow probability, wherein evaluating a buffer underflow probability or a buffer overflow probability includes checking a change in queue length in a time slot allocated to a user.

A system for predicting streaming media Quality of Experience (QoE) for network slice selection in 5G networks, comprising:

• a plurality of base station transmitters;
• and
• a Quality of Service (QoS) manager;
• wherein a mathematical model of QoE parameters are developed at the base station transmitters, wherein the models provide feedback to the QoS manager, and wherein the QoS manager selects a 5G network slice that meets QoS requirements for allocation to a use based on the feedback from the models;
• and
• wherein a buffer underflow probability or a buffer overflow probability are evaluated, wherein a buffer underflow probability or a buffer overflow probability are evaluated includes checking a change in queue length in a time slot allocated to a user.