Cross-layer QoS-optimized EDCA adaptation for wireless video streaming

Saesue, W; Chou, CT; Zhang, J

Cross-layer QoS-optimized EDCA adaptation for wireless video streaming

Saesue, W Chou, CT Zhang, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Image Processing, ICIP, 2010, pp. 2925 - 2928
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Saesue, W	en_US
dc.contributor.author	Chou, CT	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-7240-3541	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Image Processing, ICIP, 2010, pp. 2925 - 2928	en_US
dc.identifier.isbn	9781424479948	en_US
dc.identifier.issn	1522-4880	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29754
dc.description.abstract	In this paper, we propose an adaptive cross layer technique that optimally enhance the QoS of wireless video transmission in an IEEE 802.11e WLAN. The optimization takes into account the unequal error protection characteristics of video streaming, the IEEE 802.11e EDCA parameters and the lossy nature of wireless channel. Our proposed technique makes use of two analytical models: a video distotion model and a channel throughput estimation model. The first model predicts the video quality in term of average PSNR of all decoded video frames. The second model estimates the channel throughput and packet loss rates of each MAC layers queue, which are then fed into the first model as inputs. The optimal EDCA parameters are selected by an optimization module based on the information from the analytical models. The accuracy of our optimized EDCA parameters is verified through the extensive simulation. © 2010 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Conference on Image Processing, ICIP	en_US
dc.relation.isbasedon	10.1109/ICIP.2010.5652233	en_US
dc.title	Cross-layer QoS-optimized EDCA adaptation for wireless video streaming	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	Hong Kong	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In this paper, we propose an adaptive cross layer technique that optimally enhance the QoS of wireless video transmission in an IEEE 802.11e WLAN. The optimization takes into account the unequal error protection characteristics of video streaming, the IEEE 802.11e EDCA parameters and the lossy nature of wireless channel. Our proposed technique makes use of two analytical models: a video distotion model and a channel throughput estimation model. The first model predicts the video quality in term of average PSNR of all decoded video frames. The second model estimates the channel throughput and packet loss rates of each MAC layers queue, which are then fed into the first model as inputs. The optimal EDCA parameters are selected by an optimization module based on the information from the analytical models. The accuracy of our optimized EDCA parameters is verified through the extensive simulation. © 2010 IEEE.

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