Publication | Closed Access
A near optimal QoE-driven power allocation scheme for SVC-based video transmissions over MIMO systems
11
Citations
11
References
2014
Year
Unknown Venue
EngineeringMultimedia Signal ProcessingEdge ComputingScalable Video CodingVideo Coding FormatMimo SystemsReal Video TracesComputer EngineeringAdaptive ModulationQoe AssessmentTheoretical DerivationsPower ControlMultimedia DeliveryVideo TransmissionSvc-based Video TransmissionsSignal ProcessingWireless Multimedia System
In this paper, we propose a near optimal power allocation scheme, which maximizes the quality of experience (QoE), for scalable video coding (SVC) based video transmissions over multi-input multi-output (MIMO) systems. This scheme tries to optimize the received video quality according to video frame-error-rate (FER), which may be caused by either transmission errors in physical (PHY) layer or video coding structures in application (APP) layer. Due to the complexity of the original optimization problem, we decompose it into several sub-problems, which can then be solved by classic convex optimization methods. Detailed algorithms with corresponding theoretical derivations are provided. Simulations with real video traces demonstrate the effectiveness of our proposed scheme.
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