基于QoE的视频多播优化算法
QoE Optimization of Video Multicast with Heterogeneous Channels and Playback Requirements
摘要：
我们提出了一种应用层前向纠错（AL-FEC）码率分配方案，以最大限度地提高视频组播的体验质量（QoE）。分配动态分配多播客户端的质量层的可伸缩视频比特流，基于他们的异构信道质量和视频播放能力。归一化平均意见得分（NMOS）的价值客户端的体验质量在各种可能的适应多层视频，使用混合的空间-时间-幅度可伸缩性编码。该方案提供了使用喷泉编码的视频层的接收的保证，并有效地分配跨层的编码速率，以最大限度地提高多播效用措施。所提出的方案的一个有利的特征是，优化的复杂性是独立的客户端的数量。此外，提出了一个凸公式，达到接近最佳的性能，并提供了一个可靠的替代方案时，进一步减少计算复杂性是必要的。该优化被扩展以针对具有边际信道质量的客户端执行QoE波动的抑制。该方案提供了一种手段来权衡整个组播组和客户端的服务效用最差的信道。根据仿真结果，所提出的优化框架是鲁棒的源速率变化和有限的客户端反馈量。
英文摘要：
We propose an application-layer forward error correction (AL-FEC) code rate allocation scheme to maximize the quality of experience (QoE) of a video multicast. The allocation dynamically assigns multicast clients to the quality layers of a scalable video bitstream, based on their heterogeneous channel qualities and video playback capabilities. Normalized mean opinion score (NMOS) is employed to value the client's quality of experience across various possible adaptations of a multilayer video, coded using mixed spatial-temporal-amplitude scalability. The scheme provides assurance of reception of the video layers using fountain coding and effectively allocates coding rates across the layers to maximize a multicast utility measure. An advantageous feature of the proposed scheme is that the complexity of the optimization is independent of the number of clients. Additionally, a convex formulation is proposed that attains close to the best performance and offers a reliable alternative when further reduction in computational complexity is desired. The optimization is extended to perform suppression of QoE fluctuations for clients with marginal channel qualities. The scheme offers a means to trade-off service utility for the entire multicast group and clients with the worst channels. According to the simulation results, the proposed optimization framework is robust against source rate variations and limited amount of client feedback.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
