Power Modeling for Virtual Reality Video Playback Applications

TL;DR

This paper presents a detailed power consumption model for VR video playback on smartphones, enabling energy-efficient streaming by adjusting video parameters, notably resolution, to extend battery life.

Contribution

It introduces a novel power modeling approach for VR streaming applications that accurately estimates consumption and guides power-saving strategies.

Findings

Power consumption can be estimated with less than 3.5% error.

Reducing video resolution significantly lowers power usage.

The model helps optimize VR streaming for better battery life.

Abstract

This paper proposes a method to evaluate and model the power consumption of modern virtual reality playback and streaming applications on smartphones. Due to the high computational complexity of the virtual reality processing toolchain, the corresponding power consumption is very high, which reduces operating times of battery-powered devices. To tackle this problem, we analyze the power consumption in detail by performing power measurements. Furthermore, we construct a model to estimate the true power consumption with a mean error of less than 3.5%. The model can be used to save power at critical battery levels by changing the streaming video parameters. Particularly, the results show that the power consumption is significantly reduced by decreasing the input video resolution.