Video Quality Improvment in 5G Using Fuzzy Logic (original) (raw)

As there is increase in the growth of video transmissions over wireless networks, an adequate mechanism to increase the resiliency to packet loss with QoE support is essential. The mechanism adopted should be able to provides the capability to enhance video transmissions in dynamic networks, and consequently, improving the video quality, without adding unnecessary network overhead and maximizing the QoE. As the resources in the network are already scarce, this approach leads to a better usage of the wireless resources for video delivery. It can be made possible by using the redundancy scheme which is based on key human visual system and video characteristics, namely, GoP size, frame type, and position, as well as the levels of motion activity in each video sequence. Besides that, the network state, i.e., packet loss rate, was also considered.