Name
Abstract | ||
|---|---|---|
Video transmission on multiuser wireless channels faces manifold challenges in both source- and channel-coding. We propose a framework to analyze three facets of this idea: video distortion, transmit power, and delay. In the scenario considered here, both the transmitter and end-users are equipped with multi-antenna transceivers. The goal is to broadcast video to all users; however, the video is differentiated in quality to match the spatial and temporal variation of the channel. An emerging coding standard that is well-suited to this scenario is the Scalable Video Coding (SVC) extension of H.264. We employ the medium-grain scalability (MGS) feature of SVC, which allows us to generate quality-scalable layers from a single video sequence. For transport, the transmitter employs the block-diagonal zero-forcing (ZF) precoding technique, a well-known technique which yields good performance. With these assumptions, the idea here is to compute a precoder at fixed intervals. Crucially, the cross-layer framework allocates 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. However, we show that it is tractable via a primal-dual method. We analyze performance in various configurations, gaining insight into the relationship between the main system parameters. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/JSAC.2010.100416 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
video transmission,svc,precoding technique,transceivers,delay,broadcast channels,precoder computation,precoding,transmit precoding,h.264 standard,medium grain scalability,scalable video,quality layers,transmit power,multi-access systems,multiuser wireless channel,real time video,well-known technique,scalable video coding,wireless channels,mimo communication,video coding,good performance,coding standard,block-diagonal zero-forcing precoding,crosslayer framework allocates layer,snr-scalable video coding,real-time video,mimo video broadcast,video communication,mimo,multiantenna transceiver,video distortion,single video sequence,nonlinear optimization,transmitters,scalability,encoding,real time,broadcasting,real time systems,nonlinear distortion,zero forcing | Broadcasting,Transmitter,Block-matching algorithm,Transmitter power output,Computer science,MIMO,Computer network,Real-time computing,Precoding,Scalability,Scalable Video Coding | Journal |
Volume | Issue | ISSN |
28 | 3 | 0733-8716 |
Citations | PageRank | References |
16 | 0.76 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Xu | 1 | 19 | 1.81 |
| Raju Hormis | 2 | 35 | 3.96 |
| Xiaodong Wang | 3 | 3958 | 310.41 |