Multi-Tier Spectrum Sharing and Connected Vehicles

虽然车对车通信通常被视为防止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提供互联网接入的一种新的、具有成本效益的方式。这需要使用频谱。世界各地的政策制定者都面临着关于车辆网络频谱接入的难题，包括多少频谱应该用于车辆网络的非安全用途，如提供互联网接入，车辆网络是否应该与其他类型的应用共享频谱，如果是这样，哪种形式的频谱共享是最合适的。该项目为研究奠定了基础，这些研究将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一个实际的车载网络部署中收集经验数据，该部署由900多辆配备了专用短程通信（DSRC）设备的车辆组成，并使用这些数据构建车载网络模型。这包括车辆移动、信号强度和传播、实际用户产生和接收的互联网流量以及由此产生的交通流量等数据。这些数据构成了使用开源NS软件构建的数据包级模拟的基础。随后的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，包括在典型的无许可频谱频段中发生的平等共享，以及在美国为3.5 GHz频段提出的多层频谱共享。

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.