Abstract
This paper introduces a video application-aware cross-layer framework for joint performance-energy optimization, considering the scenario of multiple users upstreaming real-time Motion JPEG2000 video streams to the access point of a WiFi wireless local area network and extends the PHY-MAC run-time cross-layer scheduling strategy that we introduced in (Mangharam et al., 2005; Pollin et al., 2005) to also consider congested network situations where video packets have to be dropped. We show that an optimal solution at PHY-MAC level can be highly suboptimal at application level, and then show that making the cross-layer framework application-aware through a prioritized dropping policy capitalizing on the inherent scalability of Motion JPEG2000 video streams leads to drastic average video quality improvements an inter-user quality variation reductions of as much as 10 dB PSNR, without affecting the overall energy consumption requirements.
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Ji, X., Pollin, S., Lenoir, G. et al. Multi-user Motion JPEG2000 over wireless LAN: Run-time performance-energy optimization with application-aware cross-layer scheduling. J. Zhejiang Univ. - Sci. A 7 (Suppl 1), 151–158 (2006). https://doi.org/10.1631/jzus.2006.AS0151
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DOI: https://doi.org/10.1631/jzus.2006.AS0151
Key words
- Performance-energy optimization
- Application-aware scheduling
- Motion JPEG2000
- WLAN multi-user transmission