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Multi-user Motion JPEG2000 over wireless LAN: run-time performance-energy optimization with application-aware cross-layer scheduling

Multi-user Motion JPEG2000 over wireless LAN: run-time performance-energy optimization with application-aware cross-layer scheduling

作     者:POLLIN Sofie LENOIR Gregory LAFRUIT Gauthier DEJONGHE Antoine CATTHOOR Francky 

作者机构:Interuniversity Microelectronics Center Kapeldreef 75Leuven 3001Belgium Department of Electrical EngineeringK.U.LeuvenESAT/INSYSBelgium Interdisciplinary Institute for Broadband TechnologyGent-Ledeberg B-9050 Belgium Interuniversity Microelectronics Center Kapeldreef 75Leuven 3001Belgium Interdisciplinary Institute for Broadband TechnologyGent-Ledeberg B-9050Belgium Interuniversity Microelectronics Center Kapeldreef 75Leuven 3001Belgium Interuniversity Microelectronics Center Kapeldreef 75Leuven 3001Belgium Department of Electrical EngineeringK.U.LeuvenESAT/INSYSBelgium 

出 版 物:《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报(英文版)A辑(应用物理与工程))

年 卷 期:2006年第7卷第z1期

页      面:151-158页

核心收录:

学科分类:0810[工学-信息与通信工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:Project supported by ISBO E2E QoE 

主  题:Performance-energy optimization, Application-aware scheduling, Motion JPEG2000, WLAN multi-user transmission 

摘      要: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 and inter-user quality variation reductions of as much as 10 dB PSNR, without affecting the overall energy consumption requirements.

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