Collaborative Research: Measurement-Augmented Spectrum Databases for White Spaces

协作研究：空白空间的测量增强频谱数据库

• 批准号: 1443923
• 负责人: Sumit Roy
• 金额: $ 34.5万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1443923&HistoricalAwards=false
• 关键词: Collaborative; Research; Measurement; Augmented; Spectrum

The recent wave of radio spectrum deregulation encourages shared use of underutilized spectrum (so-called 'white spaces') where licensed users (primary) co-exist with unlicensed or lightly licensed users (secondary). Federal Communications Commission (FCC) has recommended use of online spectrum databases to ensure that primary communications are protected against interference coming from secondary communications. However, these databases provide notoriously poor estimates of whether a primary communication is active as they are based on empirically driven radio propagation modeling. This accuracy issue ultimately weakens the business case for white space networks, particularly in urban regions where the demand of both primary and secondary use is high.The core intellectual merit of the project is a fundamental rethinking of the current approach to spectrum databases. The project develops a functional system architecture that improves the spectrum database estimates by integrating the current modeling-based approach with distributed spectrum measurement data. The project delivers the key components necessary to realize such measurement-augmented database system: (i) open access spectrum observatory tool backed by models and databases, (ii) a spatial statistics-based approach to integrate modeling and measurement data, (iii) practical methods to collect large-scale, distributed spectrum measurement data to feed into the database. Success in the project will revitalize the interest in white spaces among commercial operators and also will help FCC in future spectrum policy formulation. The open access spectrum observatory tool will provide researchers with significant data sets and models. The project also plans technology transfer and cross-disciplinary educational efforts in wireless systems.

近期无线电频谱放松管制的浪潮鼓励使用未充分利用的光谱（所谓的“白色空间”），在该光谱中，有执照的用户（主要）与未经许可或易于许可的用户共存（次要）。 联邦通信委员会（FCC）建议使用在线频谱数据库，以确保主要通信受到次要通信的干扰。但是，这些数据库提供了臭名昭著的差异，即主要通信是否具有活性，因为它们基于经验驱动的无线电传播建模。这个准确性问题最终削弱了白空间网络的业务案例，尤其是在主要使用和次要使用的需求很高的城市地区。该项目的核心知识优点是对当前频谱数据库方法的基本重新思考。该项目开发了功能系统体系结构，该架构通过将基于模型的方法与分布式频谱测量数据集成到当前的基于建模的方法来改善频谱数据库估计。该项目提供了实现此类测量功能的数据库系统所需的关键组件：（i）由模型和数据库支持的开放访问频谱工具工具，（ii）一种基于空间统计的方法，用于集成建模和测量数据，（III）实用方法，以收集大型，分布式测量数据以供数据库来收集大型测量数据。该项目的成功将使商业运营商之间对白色空间的兴趣振兴，并将在未来的频谱政策制定中帮助FCC。 开放访问频谱天文台工具将为研究人员提供重要的数据集和模型。该项目还计划在无线系统中进行技术转移和跨学科的教育工作。