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Scalable H.264 Wireless Video Transmission
over MIMO-OFDM Channels
Manu Bansal 1 , Mohammad Jubran 2 , and Lisimachos P. Kondi 3 ,
1 Pillsbury Winthrop Shaw Pittman LLP, Intellectual Property Dept., McLean, VA,
USA
2 Birzeit University, Dept of Electrical Engineering, Birzeit, Palestine
3 University of Ioannina, Dept. of Computer Science, Ioannina, GR-45110, Greece
Abstract. A cross-layer optimization scheme is proposed for scalable
video transmission over wireless Multiple Input Multiple Output Or-
thogonal Frequency Division Multiplexing (MIMO-OFDM) systems. The
scalable video coding (SVC) extension of H.264/AVC is used for video
source coding. The proposed cross-layer optimization scheme jointly op-
timizes application layer parameters and physical layer parameters. The
objective is to minimize the expected video distortion at the receiver.
Two methods have been developed for the estimation of video distor-
tion at the receiver, which is essential for the cross-layer optimization.
In addition, two different priority mappings of the SVC scalable layers
are considered. Experimental results are provided and conclusions are
drawn.
1
Introduction
Recent advances in computer technology, data compression, high-bandwidth
storage devices, high-speed networks, and the third and the fourth generation
(3G and 4G) wireless technology have made it feasible to provide the delivery
of video over multicarrier wireless channels at high data rates [1]. Transmis-
sion over Multiple Input Multiple Output (MIMO) channels using Orthogonal
Frequency Division Multiplexing (OFDM) provides such high data rates for mul-
timedia delivery and therefore is of great interest in the area of wireless video
applications.
Diversity techniques, such as space-time coding (STC) for multiple antenna
systems (i.e., MIMO systems) have been proven to help overcome the degrada-
tions due to the wireless channels by providing the receiver with multiple replicas
of the transmitted signal over different channels. MIMO systems employ orthog-
onal space-time block codes (O-STBC) [2], [3], which exploit the orthogonality
property of the code matrix to achieve the full diversity gain and have the ad-
vantage of low complexity maximum-likelihood (ML) decoding.
This research was supported by a Marie Curie International Reintegration Grant
within the 7th European Community Framework Programme.
 
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