  In a decade, the adaptive quality control of video streaming and the
super-resolution (SR) technique have been deeply explored. As edge devices
improved to have exceptional processing capability than ever before, streaming
users can enhance the received image quality to allow the transmitter to
compress the images to save its power or pursue network efficiency. In this
sense, this paper proposes a novel dynamic video streaming algorithm that
adaptively compresses video chunks at the transmitter and separately enhances
the quality at the receiver using SR. In order to allow transmission of video
chunks with different compression levels and control of the computation burden,
we present the adaptive SR network which is optimized by minimizing the
weighted sum of losses extracted from different layer outputs. for dynamic
video streaming. In addition, we jointly orchestrate video delivery and
resource usage, and the proposed video delivery scheme balances the tradeoff
well among the average video quality, the queuing delay, buffering time,
transmit power, and computation power. Simulation results show that the
proposed scheme pursues the quality-of-services (QoS) of the video streaming
better than the adaptive quality control without the cooperation of the
transmitter and the receiver and the non-adaptive SR network.
