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In a decade, the adaptive quality control of video streaming and thesuper-resolution (SR) technique have been deeply explored. As edge devicesimproved to have exceptional processing capability than ever before, streamingusers can enhance the received image quality to allow the transmitter tocompress the images to save its power or pursue network efficiency. In thissense, this paper proposes a novel dynamic video streaming algorithm thatadaptively compresses video chunks at the transmitter and separately enhancesthe quality at the receiver using SR. In order to allow transmission of videochunks with different compression levels and control of the computation burden,we present the adaptive SR network which is optimized by minimizing theweighted sum of losses extracted from different layer outputs. for dynamicvideo streaming. In addition, we jointly orchestrate video delivery andresource usage, and the proposed video delivery scheme balances the tradeoffwell among the average video quality, the queuing delay, buffering time,transmit power, and computation power. Simulation results show that theproposed scheme pursues the quality-of-services (QoS) of the video streamingbetter than the adaptive quality control without the cooperation of thetransmitter and the receiver and the non-adaptive SR network.

Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution