首页|On the network coding-based D2D collaborative recovery scheme for scalable video broadcasting
On the network coding-based D2D collaborative recovery scheme for scalable video broadcasting
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NETL
NSTL
Elsevier
This paper examines the collaborative recovery issue for the scalable video broadcasting (SVB) system, where two proximate user nodes are able to maintain a local out-of-band device-to-device (D2D) pair to cooperatively recover their lost broadcasted packets. Traditional error protection methods, such as Forward Error Correction (FEC) and error concealment, often require the source node to dynamically adjust its broadcast content based on feedback from user nodes. However, in many practical SVB scenarios, such as mobile TV broadcasting systems and satellite-based video broadcast virtual file systems, user nodes are merely recipients of broadcast messages and cannot feasibly report their reception status back to the source node (i.e., feedback-free). To address these challenges, we propose the Network Coding based Collaborative recovery scheme for SVB, named NC2-SVB. NC2-SVB deviates from previous studies by employing a feedback-free transmission model, wherein the source node neither receives updates on reception status nor channel conditions from the user nodes, nor does it dynamically modify its broadcast content. By utilizing the designed coding window sliding mechanism and the collaborative video layer scheduling algorithm, each user node can independently maintain a sliding coding window, generate optimal network coded packets, and collaborate recovery for the partner in a timely manner. The theoretical bounds of reliability and decoding delay for NC2-SVB have been analyzed. Experimental results demonstrate that NC2-SVB, compared to existing schemes, enhances the collaboration throughput, achieves higher decoding rates, offers lower decoding delays, as well as improved video playback quality.
Network codingScalable video broadcastingD2D communicationCollaborative recoveryTRANSMISSION
NETL
NSTL
Elsevier
