Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6129
Title: Optimal bandwidth allocation for scalable H.264 video transmission over MIMO systems
Authors: Jubran, Mohammad 
Bansal, Manu 
Kondi, Lisimachos P. 
Keywords: Optical data processing;Video compression;Optimal bandwidth allocation;Scalable H.264 codec;Video transmission;MIMO systems
Issue Date: 1-Jan-2006
Journal: Proceedings - IEEE Military Communications Conference MILCOM 
Abstract: In this paper, we propose an optimal strategy for the transmission of scalable video over packet-based multiple-input multiple-output (MIMO) systems. The latest scalable H.264 codec is used, which provides combined temporal, quality and spatial scalability. In this work, we propose different error concealment schemes to handle packet losses at the decoder At the encoder, we have developed a method for the estimation of the video distortion at the receiver for given channel conditions. We show the performance of our distortion estimation algorithm in comparison with simulated video transmission over wireless channels with packet errors. In the proposed system, we use a MIMO system with orthogonal space-time block codes (0-STBC) that provides spatial diversity and guarantees independent transmission of different symbols within the block code. Rate-compatible turbo codes (RCPT) are used for unequal error protection of the scalable layers. In the proposed constrained bandwidth allocation framework, we use the estimated decoder distortion to optimally select the application layer parameters, i. e. quantization parameter (QP) and group of pictures (GOP) size, and physical layer parameters, i.e. RCPT and symbol constellation. Also, the simulation results show the substantial performance gain by using different symbol constellations across the scalable layers as compared to afixed constellation.
URI: http://hdl.handle.net/20.500.11889/6129
ISBN: 1424406188
DOI: https://api.elsevier.com/content/abstract/scopus_id/35148866105
10.1109/MILCOM.2006.302188
https://api.elsevier.com/content/abstract/scopus_id/35148866105
https://api.elsevier.com/content/abstract/scopus_id/35148866105
https://api.elsevier.com/content/abstract/scopus_id/35148866105
Appears in Collections:6. BZU Dataset Collection

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