Equation-based congestion control for unicast applications
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Video Traces for Network Performance Evaluation: A Comprehensive Overview and Guide on Video Traces and Their Utilization in Networking Research
IEEE Transactions on Multimedia
Cycle-Based Rate Control for One-Way and Interactive Video Communications Over Wireless Channels
IEEE Transactions on Multimedia
Adaptive systems for improved media streaming experience
IEEE Communications Magazine
Stochastic rate-control of video coders for wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Mobile Video Transmission Using Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
InSite: QoE-aware video delivery from cloud data centers
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
Scalable Wireless Video Streaming over Real-Time Publish Subscribe Protocol (RTPS)
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
| Hi-index | 0.00 |
Video streaming over wireless links is a challenging problem due to both the unreliable, time-varying nature of the wireless channel and the stringent delivery requirements of media traffic. Layered encoded video can be used to improve the system performance by adapting the sending rate for different video frame layers to the varying network and playout situations. In this paper, we study the adaptive control of sending rates for both the base layer and enhancement layer based on feedback information from the wireless receiver. We formulate the problem in a framework of Markov decision processes to minimize a weighted sum of video quality and playout continuity degradation. In order to decrease the computation complexity, we then develop an online greedy algorithm, which only considers the current control time period. Simulation results show that the propose adaptive rate control provides significantly improved video quality and playout smoothness. Furthermore, when rate control is not performed very frequently, the greedy algorithm achieves a video distortion rate nearly matching that of the ideal optimal Dynamic Programming policy.