Energy-Efficient Bandwidth Allocation for Multiuser Scalable Video Streaming over WLAN

Abstract

We consider the problem of packet scheduling for the transmission of multiple video streams over a wireless local area network (WLAN). A cross-layer optimization framework is proposed to minimize the wireless transceiver energy consumption while meeting the user required visual quality constraints. The framework relies on the IEEE 802.11 standard and on the embedded bitstream structure of the scalable video coding scheme. It integrates an application-level video quality metric as QoS constraint (instead of a communication layer quality metric) with energy consumption optimization through link layer scaling and sleeping. Both energy minimization and min-max energy optimization strategies are discussed. Simulation results demonstrate significant energy gains compared to the state-of-the-art approaches.

A Test Bench for Distortion-Energy Optimization of a DSP-Based H.264/SVC Decoder

“…The aim is to vary the perceived multimedia quality to achieve the maximum operational time. Generally speaking, both quality and system energy consumption depend on parameters such as power amplifier transmission power, linearity and video distortion, among others [10]. The set of possible values of these control parameters can be viewed as a set of points in a multidimensional control space.…”

“…The set of possible values of these control parameters can be viewed as a set of points in a multidimensional control space. Depending on the battery state-of-charge, efficient multimedia terminals can search the set of system control points that simultaneously optimize operational time and multimedia quality [10].…”

“…Although multi-objective terminal characterizations have already been proposed in the literature [10], to the best of our knowledge, no detailed results have been presented on terminals with current state-of-the-art video decoder implementations. This paper describes an OMAP-based [14] real-time test bench to estimate the Pareto frontier of a video decoder embedded in a multimedia terminal within the distortion-energy optimization space.…”