NDLI: Optimal solution for SVC-based video transmission over a realistic mimo channel using precoder designs

Content Provider	IEEE Xplore Digital Library
Author	Hamidouche, W. Perrine, C. Pousset, Y. Olivier, C.
Copyright Year	2010
Description	Author affiliation: XLIM Laboratory, Poitiers University CNRS UMR 6172, Department of Signal Image and Communication Télèport 2, Bd Marie et Pierre Curie, BP 30179 86962 Futuroscope Cedex (France) (Hamidouche, W.; Perrine, C.; Pousset, Y.; Olivier, C.)
Abstract	In this paper we propose a novel scheme for SVC-based video transmission over MIMO channels using precoder solutions. On the one hand, H.264/SVC codec ensures spatial, temporal and quality scalabilities and provides an intrinsic hierarchy over transmitted bitstreams. On the other hand, precoder designs, which decouple a MIMO channel into parallel and independent SISOsub-channels, offer a high BER performance with a hierarchy over the sub-channels. The proposed scheme exploits the scalability of the H.264/SVC codec jointly with four precoder solutions providing an UEP without any surplus redundancy. Besides, some of these precoders such as QoS and E-dmin allow a high flexibility on the power allocation across the sub-channels. This scalability is used to analytically draw the bandwidth allocation problem for H.264/SVC transmission over MIMO channels. The solution of this problem allows an optimal selection of each transmission bloc parameter approaching the optimal solution in term of Rate Distortion (RD) criterion. The simulation results show the performance of the proposed scheme over both statistical and realistic MIMO channels. Moreover, the accuracy of these precoder solutions against the Channel Estimation (CE) errors is investigated in different user mobility speeds.
Starting Page	2346
Ending Page	2349
File Size	241745
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5496085
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Static VAr compensators Scalability Error correction codes Bit error rate Channel allocation Codecs Redundancy OFDM Signal to noise ratio H.264/SVC Precoder solutions Optimal bandwidth allocation QoS precoder E-dmin precoder
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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