QoE-Aware wireless video communications for emotion-aware intelligent systems: A multi-layered collaboration approach

With the ever increasing demand on high-quality visual information for emotion-aware intelligent systems, wireless video traffic explosively grows and causes great energy consumption. Therefore, providing high quality of experience (QoE) for connected users becomes increasingly important. Aiming to establish a new paradigm to solve this challenging problem, in this article we propose a multi-layered collaboration approach to provide energy-efficient QoE-aware wireless video communications by efficiently utilizing the limited transmission resources of wireless networks for 5G. We first investigate the emotion-aware intelligent system QoE measurement based on objective metrics of quality of service (QoS). Then, we utilize the multi-layered collaborations of physical, network and application layers among the connected users to achieve energy-efficient QoE-aware video communications. By developing a profound understanding of the interplay between the video applications and wireless networks, we qualitatively analyze how QoE can benefit from the multi-layered collaborations, and quantitatively assess the achievable gains in a typical wireless-connected emotion-aware application scenario.