A QoE Estimation Model for Video Streaming over 5G Millimeter Wave Network

With the rapid development of mobile communication, human’s demand for communication capacity increasing, a fifth-generation communications network (5G) have gained popularity because of enormous amount of spectrum in the millimeter wave (mmWave) bands. The 5G network is not only to provide people with more high data transfer rates and lower latency, but also to provide users with more meaningful and personalized service based on the users and their understanding of the service required. Nowadays, video streaming service plays an increasing important role in human’s daily life. However, the existing video streaming service application scenarios are mostly in Long Term Evolution network (LTE) and wireless network, there are few articles about studying video streaming service quality evaluation method in 5G network, so we conduct a study on the quality of experience (QoE) of video streaming service under 5G mmWave network scenario with NS-3. Under this scenario, video streaming system is created. By obtaining the quality of service (QoS) parameters of the network scenario, the non-linear regression function is used to predict the QoE of our video streaming service. The fit coefficient of the result shows that our model is powerful.