WiFiUS: Ubiquitous Video over Dynamic Spectrum

WiFiUS：动态频谱上无处不在的视频

• 批准号: 1759655
• 负责人: Mung Chiang
• 金额: $ 9.96万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1759655&HistoricalAwards=false
• 关键词: WiFiUS; Ubiquitous; Video; over; Dynamic

Mobile phones and tablets are the most widely-used wireless communication devices nowadays. Video already represents the majority of mobile traffic and is expected to grow significantly in the coming years. Network operators are already facing shortage of bandwidth to support such a huge amount of traffic, despite the availability of newer cellular communication technologies. A solution to increase the availability and the efficiency of wireless communication technologies is given by cognitive radio networks (CRNs). Enabled by adaptive communication protocols, CRNs have the capability to sense a wide range of the spectrum and the agility to make use of the available resources dynamically. Accordingly, they can reclaim unused spectrum (i.e., whitespace) for wireless communications while avoiding interferences with between licensed and unlicensed users. However, video delivery over CRNs presents several challenges related to the highly-varying nature of the channel, the presence of misbehaving users, and the dynamic availability of heterogeneous resources.This project addresses such challenges and makes CRNs suitable as a platform to provide ubiquitous wireless video. The research takes a flexible approach that is applicable to diverse regulations across national boundaries and specifically targets mobile devices. It helps create a cognitive phone, i.e., a smartphone with cognitive radio capabilities, to bridge the gap between the technologies behind CRNs and real applications. The project builds on two major research thrusts. First, it adopts spectrum crowd-sensing as a means to model the availability of whitespace at multiple scales and support long-lived communications. Such an approach enables novel solutions to accurately characterize the channel and enforce the policies established by the communication authorities. Second, it leverages adaptive mechanisms as foundations to efficiently deliver video streams to end users. These mechanisms are implemented through streaming protocols and components in the network infrastructure that provide video content with a target quality of experience. The project also integrates synergistic activities between the United States and Finland in education, industry collaboration, and entrepreneurship.

如今，手机和平板电脑是使用最广泛的无线通信设备。视频已经代表了大多数移动流量，预计未来几年将大大增长。尽管较新的蜂窝通信技术可用，但网络运营商已经面临不足的带宽，以支持如此大量的流量。认知无线网络（CRN）给出了提高无线通信技术的可用性和效率的解决方案。通过自适应通信协议启用，CRN具有感知各种频谱和敏捷性的能力，以动态利用可用资源。因此，他们可以为无线通信收回未使用的频谱（即Whitespace），同时避免在许可用户和未经许可用户之间进行干扰。但是，CRN的视频交付提出了与频道高度不同的性质，行为不端用户的存在以及异质资源的动态可用性有关的几个挑战。此项目解决了此类挑战，并使CRN作为一个适合提供无处不在的无线视频的平台。这项研究采用了一种灵活的方法，适用于国家边界的各种法规，并特别针对移动设备。它有助于创建一部认知手机，即具有认知无线电功能的智能手机，以弥合CRN背后的技术与真实应用程序之间的差距。该项目建立在两个主要的研究方面。首先，它采用频谱人群感应，以模拟多个尺度上的空格的可用性并支持长期寿命的通信。这种方法使新颖的解决方案能够准确地表征渠道并执行通信当局制定的政策。其次，它利用自适应机制作为基础，以有效地将视频流传递给最终用户。这些机制是通过网络基础架构中的流协议和组件来实现的，这些协议和组件提供了具有目标经验质量的视频内容。该项目还将美国与芬兰之间的协同活动整合在教育，工业合作和企业家精神中。