Abstract
Wireless local area network–based broadcasting techniques are a type of mobile Internet Protocol television technology that simultaneously transmits multimedia content to local users. Contrary to the existing wireless local area network–based multimedia transmission systems, which transmit multimedia data to users using unicast packets, a wireless local area network–based broadcasting system is able to transmit multimedia data to many users in a single broadcast packet. Consequently, network resources do not increase with the increase in the number of users. However, IEEE 802.11 does not provide a packet loss recovery algorithm for broadcast packet loss, which is unavoidable. Therefore, the forward error correction technique is required to address the issue of broadcast packet loss. The broadcast packet loss rate of a wireless local area network–based broadcasting system that transmits compressed multimedia data is not proportional to the quality deterioration of the received video signals; therefore, it is difficult to predict the quality of the received video while also considering the effect of broadcast packet loss. In this scenario, allocating equal forward error correction packets to compressed frames is not an effective method for recovering broadcast packet loss. Thus, several studies on unequal loss protection have been conducted. This study proposes an effective, prediction-based unequal loss protection algorithm that can be applied to wireless local area network–based broadcasting systems. The proposed unequal loss protection algorithm adopts a novel approach by adding forward error correction packets to every transmission frame while considering frame loss. This algorithm was used as a new metric to predict video quality deterioration, and an unequal loss protection structure was designed, implemented, and verified. The effectiveness of the quality deterioration model and the validity of the unequal loss protection algorithm were demonstrated through experiments.
Highlights
High-speed network techniques utilized in smartphones, tablet personal computers (PCs), and laptops have quickly expanded in applications to industry and have enabled users to watch multimedia broadcasts anywhere and at any time
The advantage of mobile multimedia broadcasting compared to digital multimedia broadcasting (DMB), digital video broadcasting—handheld (DVB-H), and multimedia broadcast multicast service (MBMS), which require a large-scale system for mobile multimedia
This study proposes a framework that can adaptively predict the distortion in the quality of receiving video, and it proposes a quality prediction model according to packet losses in order to effectively transfer multimedia video data in a Wi-Fi broadcasting system
Summary
High-speed network techniques utilized in smartphones, tablet personal computers (PCs), and laptops have quickly expanded in applications to industry and have enabled users to watch multimedia broadcasts anywhere and at any time. Considering the principles of encoding and decoding, it is not efficient to recover packet losses in terms of received quality of video frames. Under circumstances in which network resources are limited and the location of packet loss is unknown, it is not an optimal option to allocate an FEC packet only to recover the important frame considering the average quality of receiving video. Using the multimedia data, which includes the packet loss rate and the number of packets that comprise the frame, the frame loss rate can be calculated with a binomial This binomial can be used to predict the quality of the receiving video. This study proposes a framework that can adaptively predict the distortion in the quality of receiving video, and it proposes a quality prediction model according to packet losses in order to effectively transfer multimedia video data in a Wi-Fi broadcasting system. Our conclusions and discussion are presented in section ‘‘Conclusion.’’
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