This paper presents a reliable and efficient high quality video streaming solution for use in challenging outdoor environments over Wi-Fi. An application layer forward error correction based on RaptorQ codes was implemented in a practical Wi-Fi based server and client system to enhance reliability. Thus, this paper presents the first detailed analysis on the implementation of RaptorQ codes for streaming high definition video over Wi-Fi. The measurements were performed in central Bristol with parameters such as RaptorQ symbol size, code rate, buffering time and modulation and coding scheme, and user quality of experience based on these parameters was evaluated. For multicast live video streaming it is demonstrated that system performance is mostly dominated by hardware and software limitations on constrained host platforms where the incoming packet rate exceeds the device`s ability to consume the traffic, i.e., Wi-Fi clients are a major source of packet loss, even in ideal channel conditions. Client limitations were found to be a function of modulation and coding schemes and RaptorQ coding parameters. Therefore, the optimum system design parameters such as RaptorQ symbol size, code rate and buffering time with respect to modulation and coding schemes were suggested considering practical limitations from real-world measurements.

本文提出了一种可靠且高效的高质量视频流解决方案，可用于具有挑战性的Wi-Fi室外环境。在实际的基于Wi-Fi的服务器和客户端系统中实现了基于RaptorQ代码的应用层前向纠错，以增强可靠性。因此，本文首次详细介绍了RaptorQ代码在Wi-Fi上流式传输高清视频的实现。这些测量是在布里斯托尔中心地区使用RaptorQ符号大小，编码率，缓冲时间以及调制和编码方案等参数进行的，并基于这些参数评估了用户的体验质量。对于多播实时视频流，已证明，系统性能主要受受限主机平台上的硬件和软件限制所支配，在这些主机平台上，传入数据包速率超过了设备消耗流量的能力，即Wi-Fi客户端是造成这种情况的主要来源。即使在理想的信道条件下，数据包也会丢失。发现客户端限制是调制和编码方案以及RaptorQ编码参数的函数。因此，考虑到实际测量的实际局限性，建议了关于调制和编码方案的最佳系统设计参数，例如RaptorQ符号大小，编码率和缓冲时间。发现客户端限制是调制和编码方案以及RaptorQ编码参数的函数。因此，考虑到实际测量的实际局限性，提出了针对调制和编码方案的最佳系统设计参数，例如RaptorQ符号大小，编码率和缓冲时间。发现客户端限制是调制和编码方案以及RaptorQ编码参数的函数。因此，考虑到实际测量的实际局限性，建议了针对调制和编码方案的最佳系统设计参数，例如RaptorQ符号大小，编码率和缓冲时间。