Digital communications: fundamentals and applications
Digital communications: fundamentals and applications
Transmission of video telephony images over wireless channels
Wireless Networks - Special issue on wireless multimedia networking
A packet selection algorithm for adaptive transmission of smoothed video over a wireless channel
Journal of Parallel and Distributed Computing - Special issue on wireless and mobile computing and communications
Wireless Communications
Rate-distortion optimized streaming of packetized media
IEEE Transactions on Multimedia
Performance of H.263 video transmission over wireless channels using hybrid ARQ
IEEE Journal on Selected Areas in Communications
Forward Error Correction Coding for Fading Compensation in Mobile Satellite Channels
IEEE Journal on Selected Areas in Communications
H.264/AVC in wireless environments
IEEE Transactions on Circuits and Systems for Video Technology
Scalable WiFi media delivery through adaptive broadcasts
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Energy-efficient video streaming from high-speed trains
Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video
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This paper presents wireless video streaming techniques that exploit the characteristics of video content, transmission history, and physical layer channels to enable real-time efficient video streaming over wireless networks to a wireless client. The key contribution of the proposed video streaming techniques is the use of rate-distortion based, but simplified, low complexity packet scheduling as well as forward error correction (FEC) rate selection. To this end, we develop an optimization framework that jointly schedules the packets and selects the FEC rates. The rate-distortion optimized packet scheduling and FEC rate selection provides the optimum quality video on the receiver side albeit at a high computational cost. By some intelligent approximations, rate distortion optimized packet scheduling and FEC rate selection technique is transformed into two sub-optimal but low complexity video streaming techniques that can provide high video quality. We perform extensive simulations to understand the performance of our proposed techniques under different scenarios. Results show that, the proposed techniques improve video quality on the average by 4dB. We conclude that significant benefits to end-user experience can be obtained by using such video streaming methods.