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In this letter we propose a QoE-aware video adaptation and resource allocation approach for power-efficient streaming over downlink OFDMA systems. Our adaptation scheme selectively drops packets from a video stream to produce a lower bit-rate version under QoE and delay constraints. This results in a reduction of the load and an increase of the video capacity of the wireless network. Our resource allocation target is to minimize the transmit power by considering the delay requirements of each stream identified in the video adaptation phase. Experimental results have shown significant performance enhancement of the proposed system in terms of end-to-end delay and power efficiency while satisfying QoE requirements.

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No abstract

If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.

In this paper we investigate power-efficient resource allocation for transmission of perceptual quality guaranteed video over LTE downlink under delay quality of service (QoS) constraints. We formulate the resource allocation problem as the minimization of sum power in the downlink under userperceived quality and statistical delay QoS provisioning. We solve the problem using dual decomposition and employ the ellipsoid method to update dual variables. Experimental results have shown significant performance enhancement of the proposed system in terms of power efficiency while satisfying the statistical delay-bounded QoS and perceptual quality requirements.