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: 1443951
• 负责人: Samir Das
• 金额: $ 34.49万
• 依托单位: SUNY at Stony Brook
• 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=1443951&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.

最近的无线电频谱放松管制浪潮鼓励共享使用未充分利用的频谱（所谓的“空白空间”），其中许可用户（主要）与未许可或轻度许可用户（次要）共存。 美国联邦通信委员会 (FCC) 建议使用在线频谱数据库，以确保主要通信免受二次通信的干扰。然而，这些数据库对主通信是否活跃的估计非常差，因为它们基于经验驱动的无线电传播模型。这种准确性问题最终削弱了空白网络的商业案例，特别是在一次和二次使用需求都很高的城市地区。该项目的核心智力价值是对当前频谱数据库方法的根本性重新思考。该项目开发了一种功能系统架构，通过将当前基于建模的方法与分布式频谱测量数据集成来改进频谱数据库估计。该项目提供了实现这种测量增强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式频谱观测工具，（ii）基于空间统计的方法来集成建模和测量数据，（iii）实用收集大规模分布式频谱测量数据以输入数据库的方法。该项目的成功将重振商业运营商对空白频谱的兴趣，也将有助于 FCC 未来频谱政策的制定。 开放获取频谱观测工具将为研究人员提供重要的数据集和模型。该项目还计划无线系统方面的技术转让和跨学科教育工作。