Abstract | ||
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We propose a framework for multicasting layers of scalable video over a broadcast channel to multiple users simultaneously. The framework ensures that all users receive the content, but at differentiated levels of quality depending on channel conditions. A coding scheme well-suited to this purpose is Scalable Video Coding (SVC). In particular, we employ medium-grain scalability (MGS), which allows us to generate quality-scalable layers from a single video sequence. For transport, we assume that both the transmitter and end-users are equipped with multiple-input multiple-output (MIMO) transceivers. The transmitter employs the zero-forcing (ZF) precoding technique, which yields good performance with low complexity. With these assumptions, the scheme proposed here computes a block-diagonal ZF-precoder at fixed intervals, subject to a power constraint at the transmitter. Crucially, the algorithm assigns quality-scalable layers of video to the end-users jointly with precoder computation. The framework also ensures that delay and buffer constraints are met, which is necessary for real-time video. In terms of solution approach, the problem turns out to be a difficult mixed-integer nonlinear optimization problem. |
Year | DOI | Venue |
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2009 | 10.1109/GLOCOM.2009.5426084 | GLOBECOM |
Keywords | Field | DocType |
coding scheme,block-diagonal zf-precoder,scalable video multicast,scalable video coding,single video sequence,quality-scalable layer,broadcast channel,scalable video,buffer constraint,real-time video,channel condition,encoding,integer programming,nonlinear optimization,transceivers,zero forcing,nonlinear programming,mimo,transmitters,precoding,real time systems | Transmitter,Computer science,Nonlinear programming,Computer network,Communication channel,MIMO,Real-time computing,Multicast,Precoding,Scalability,Scalable Video Coding | Conference |
ISSN | Citations | PageRank |
1930-529X | 2 | 0.36 |
References | Authors | |
11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jun Xu | 1 | 19 | 1.81 |
Raju Hormis | 2 | 35 | 3.96 |
Xiaodong Wang | 3 | 3958 | 310.41 |