A Transparent Loss Recovery Scheme Using Packet Redirection for Wireless Video Transmissions

Abstract

With the wide deployment of wireless networks and the rapid integration of various emerging networking technologies nowadays, Internet video applications must be updated on a sufficiently timely basis to support high end-to-end quality of service (QoS) levels over heterogeneous infrastructures. However, updating the legacy applications to provide QoS support is both complex and expensive since the video applications must communicate with underlying architectures when carrying out QoS provisioning, and furthermore, should be both aware of and adaptive to variations in the network conditions. Accordingly, this paper presents a transparent loss recovery scheme to transparently support the robust video transmission on behalf of real-time streaming video applications. The proposed scheme includes the following two modules: (i) a transparent QoS mechanism which enables the QoS setup of video applications without the requirement for any modification of the existing legacy applications through its use of an efficient packet redirection scheme; and (ii) an instant frame-level FEC technique which performs online FEC bandwidth allocation within TCP-friendly rate constraints in a frame-by-frame basis to minimize the additional FEC processing delay. The experimental results show that the proposed scheme achieves nearly the same video quality that can be obtained by the optimal frame-level FEC under varying network conditions while maintaining low end-to-end delay.

Small‐block interleaving for low‐delay cross‐packet forward error correction over burst‐loss channels

“…In the proposed small-block interleaved FEC scheme, the original FEC (n, k) block is divided into D sub-blocks. Without loss of generality, D belongs to a set of common factors of n and k. The effective packet loss rate (PLR) is given by Figure 3 shows the experimental results to observe the effective PLR for the FEC block (24,16) with small-block interleaving depth D as the parameters (P B , L B ) of Gilbert model are set to (0.1, 2-10). The results of another experiment scenario is presented in Figure 4 as the value of P B is increased to 0.2 and the remaining experiment setting keeps unchanged.…”

“…established an enhanced error propagation model for prioritized macro‐blocks and further reduced the amount of computational iterations in perform real‐time FEC control at macro‐block level. In , an instant FEC rate allocation scheme was proposed to distribute the available bandwidth between video packets and redundant packets in a frame‐by‐frame basis. On the basis of the appropriate classification of video frames, their proposed scheme utilized the bandwidth borrowing mechanism and the frame discarding mechanism to achieve the near‐highest video quality obtained by the optimal frame‐level FEC within transmission rate constraints.…”

“…On the basis of the appropriate classification of video frames, their proposed scheme utilized the bandwidth borrowing mechanism and the frame discarding mechanism to achieve the near‐highest video quality obtained by the optimal frame‐level FEC within transmission rate constraints. Similar to , authors in grouped a series of video frames into different frame sets in real time and used a cost function to obtain the maximum number of received video frames by reserving more bandwidth budget to high‐priority video frames from low‐priority frames.…”