Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Media-friendliness of a slowly-responsive congestion control protocol
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
A globally stable adaptive congestion control scheme for internet-style networks with delay
IEEE/ACM Transactions on Networking (TON)
The IMS service platform: a solution for next-generation network operators to be more than bit pipes
IEEE Communications Magazine
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Autonomic system for mobility support in 4G networks
IEEE Journal on Selected Areas in Communications
A cross-layer framework for video-on-demand service in multi-hop WiMax mesh networks
Computer Communications
Proceedings of the 2007 Workshop on Middleware for next-generation converged networks and applications
Optimal scheduling for multiple description video streams in wireless multihop networks
IEEE Communications Letters
IEEE Transactions on Multimedia
EURASIP Journal on Wireless Communications and Networking
Enhancing the Performance of Video Streaming in Wireless Mesh Networks
Wireless Personal Communications: An International Journal
Multisource video on-demand streaming in wireless mesh networks
IEEE/ACM Transactions on Networking (TON)
| Hi-index | 0.00 |
Contemporary wireless devices integrate multiple networking technologies, such as cellular, WiMax and IEEE 802.11a/b/g, as alternative means of accessing the Internet. Efficient utilization of available bandwidth over heterogeneous access networks is important, especially for media streaming applications with high data rates and stringent delay requirements. In this work we consider the problem of rate allocation among multiple video streaming sessions sharing multiple access networks. We develop and evaluate an analytical framework for optimal video rate allocation, based on observed available bit rate (ABR) and round trip time (RTT) over each access network, as well as the video distortion-rate (DR) characteristics. The rate allocation is formulated as a convex optimization problem that minimizes the sum of expected distortion of all video streams. We then present a distributed approximation of the optimization, which enables autonomous rate allocation at each device in a media- and network-aware fashion. Performance of the proposed allocation scheme is compared against robust rate control based on H∞ optimal control and two heuristic schemes employing TCP style additive-increase-multiplicative-decrease (AIMD) principles. Wesimulate in NS-2 [1] simultaneous streaming of multiple high-definition(HD) video streams over multiple access networks, using ABR and RTT traces collected on Ethernet, IEEE 802.11g, and IEEE 802.11b networks deployed in a corporate environment. In comparison with heuristic AIMD-based schemes, rate allocation from both the media-aware convex optimization scheme and H∞ optimal control benefit from proactive avoidance of network congestion, and can reduce the average packet loss ratio from 27% to below 2%, while improving the average received video quality by 3.3 - 4.5 dB in PSNR.