Forward Error Correction for Multipath Media Streaming

Abstract

Abstract-We address the problem of joint optimal rate allocation and scheduling between media source rate and error protection rate in scalable streaming applications over lossy multipath networks. Starting from a distortion representation of the received media information at the client, we propose a novel optimization framework in which we analyze the performance of the most relevant forward error correction and scheduling techniques. We describe both optimal and heuristic algorithms that find solutions to the rate allocation and scheduling problem, and emphasize the main characteristics of the compared techniques. Our results show that efficient unequal error protection schemes improve the quality of the streaming process. At the same time we emphasize the importance of priority scheduling of the information over the best available network paths, which outperforms traditional first-in-first-out models or network flooding mechanisms.Index Terms-Forward error correction, multipath networks, video streaming.

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

“…They do not address multi-path streaming scenarios, where more than one network path is allocated to the application. Different from previous JSCC approaches, Jurca et al [16] researched on the optimal FEC scheme and layer selection in multi-path scenario. This approach uses a multi-layer http://jwcn.eurasipjournals.com/content/2013/1/283 coded video stream, and the base-layer stream is protected by duplicated transmission using multiple physical paths during the handoff.…”

“…EMS scheme splits traffic loads over multiple paths according to the path loss rate and dynamically adjusts FEC redundancy. However, EMS was generally under the assumption that all the available paths could be beneficial for the transmission as in [16]. MPLOT is a transport protocol that aims at maximizing the throughput of the upper layer application.…”

“…However, one major problem with the existing JSCC approaches (e.g., [14,15]) is that they consider the network between the server and the client as a single transport link [16]. The problem becomes more complicated in the context of integrated heterogeneous wireless networks, in which multiple access networks may be simultaneously available.…”

“…Experimental results show that (1) FRA-JSCC improves the average video peak signal-to-noise ratio (PSNR) by up to 3.5, 8.45, and 11 dB compared to the fountain code-based virtual path (FCVP) [6], joint multimedia-FEC rate (JMFR) [16], and dynamic multi-path (DMP) [18]; (2) FRA-JSCC reduces the average end-to-end delay by up to 20.8, 11.5, and 40.3 ms compared to the FCVP, JMFR, and DMP; (3) FRA-JSCC mitigates the effective loss rate by up to 6.05%, 10.5%, and 15.5% compared to the FCVP, JMFR, and DMP.…”

Toward continuous push-based P2P live streaming

“…In forward error correction (FEC), the sender generates redundant data to its messages. With the redundancy the receiver can recover all the source packets if it receives a certain number of coded packets [9]. In this work we use MDC to encode the video stream so that they are delivered by unique spanning trees.…”