NeTS-ANET: One Video Multicast to Serve Diverse Wireless Receivers

NeTS-ANET：一种视频多播服务于多种无线接收器

• 批准号: 0831664
• 负责人: Dina Katabi
• 金额: $ 44.5万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0831664&HistoricalAwards=false
• 关键词: NeTS; ANET; Video; Multicast; Serve

Wireless video multicast is increasingly popular, driven by users' desires to watch live TV and sporting events on laptops and handheld devices. The problem however is that wireless users have very different channel characteristics. Transmitting the video separately to each user is unscalable, yet transmitting a single video stream that serves all users despite their diverse channels is a challenging problem.This project introduces Digital Rain, a new paradigm for streaming video to heterogeneous wireless receivers. Digital Rain builds on the theory of compressed sensing to develop a novel approach to video multicast where the source simply broadcasts coded packets belonging to a video stream. Receivers exploit all received video packets, even those with bit errors. Receivers that collect more packets, or experience fewer bit errors in each packet, see higher video quality without any need to receiver feedback, retransmissions, or changing the rate of the codec.This research creates a bridge between the theory of compressed sensing and practical wireless network design. Further, it significantly improves the scalability of wireless video multicast, and hence has a direct and broad impact on emerging wireless video applications (e.g., IPTV, or Television over Internet Protocol), as well as the corresponding wireless industry. The research is integrated and synergistic with an educational plan that, in addition to standard graduate and undergraduate research and course development, directly supports MIT's effort to provide a more nurturing environment for women and underrepresented minorities. Finally, as in previous funded work, the project will result in open source, downloadable code.

由于用户希望在笔记本电脑和手持设备上观看直播电视和体育赛事，无线视频多播越来越受欢迎。然而问题是无线用户具有非常不同的信道特性。将视频单独传输给每个用户是不可扩展的，但传输为所有用户提供服务的单个视频流（尽管他们的频道不同）是一个具有挑战性的问题。该项目引入了 Digital Rain，这是一种将视频流传输到异构无线接收器的新范例。 Digital Rain 以压缩感知理论为基础，开发了一种新颖的视频组播方法，其中源只需广播属于视频流的编码数据包。 接收器利用所有收到的视频数据包，甚至是那些有误码的视频数据包。 收集更多数据包或每个数据包中遇到更少比特错误的接收器可以看到更高的视频质量，而无需接收器反馈、重传或更改编解码器的速率。这项研究在压缩感知理论和实际无线网络设计之间架起了一座桥梁。 此外，它显着提高了无线视频组播的可扩展性，因此对新兴的无线视频应用（例如IPTV或互联网协议电视）以及相应的无线行业产生直接和广泛的影响。 该研究与教育计划相结合并具有协同作用，除了标准的研究生和本科生研究和课程开发之外，还直接支持麻省理工学院为女性和代表性不足的少数族裔提供更有利于培育的环境的努力。 最后，与之前资助的工作一样，该项目将产生开源、可下载的代码。