Multi-Tier Spectrum Sharing and Connected Vehicles

多层频谱共享和联网车辆

• 批准号: 1547237
• 负责人: Jon Peha
• 金额: $ 11.28万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1547237&HistoricalAwards=false
• 关键词: Multi; Tier; Spectrum; Sharing; Connected

Although vehicle-to-vehicle communications is often seen as a means of preventing accidents and improving safety, the resulting vehicular networks may also prove to be a new and cost-effective way to provide Internet access. This requires access to spectrum. Policymakers around the world face difficult questions regarding spectrum access for vehicular networks, including how much spectrum should be available for non-safety uses of vehicular networks such as providing Internet access, whether vehicular networks should share spectrum with other kinds of applications, and if so, what forms of spectrum-sharing are most appropriate. This project lays the groundwork for research that will inform these important spectrum policy decisions. Researchers in this project gather empirical data from an actual vehicular network deployment consisting of over 900 vehicles that are equipped with Dedicated Short Range Communications (DSRC) devices, and use that data to construct models of vehicular networks. This includes data on vehicle movement, signal strength and propagation, the Internet traffic generated and received by actual users, and resulting traffic flows. This data forms the basis of a packet-level simulation constructed using open source NS software. Subsequent research projects will use those models to quantify both the cost and the benefit of various spectrum policies, including sharing-among-equals as occurs in typical unlicensed spectrum bands, and multi-tier spectrum-sharing as has been proposed for the 3.5 GHz band in the United States.

尽管车对车通信通常被视为预防事故和提高安全性的一种手段，但由此产生的车载网络也可能被证明是一种提供互联网接入的新且经济高效的方式。 这需要获得频谱。 世界各地的政策制定者面临着有关车辆网络频谱接入的难题，包括应有多少频谱可用于车辆网络的非安全用途，例如提供互联网接入，车辆网络是否应与其他类型的应用共享频谱，如果是，哪种形式的频谱共享最合适。 该项目为研究奠定了基础，为这些重要的频谱政策决策提供信息。该项目的研究人员从由 900 多辆配备专用短程通信 (DSRC) 设备的车辆组成的实际车辆网络部署中收集经验数据，并使用该数据构建车辆网络模型。 这包括有关车辆移动、信号强度和传播、实际用户生成和接收的互联网流量以及由此产生的流量的数据。 该数据构成了使用开源 NS 软件构建的数据包级模拟的基础。后续研究项目将使用这些模型来量化各种频谱政策的成本和收益，包括典型的免许可频段中出现的平等共享，以及美国为 3.5 GHz 频段提议的多层频谱共享。