SBIR Phase II (COVID-19): Improved 5G Network Performance and Demand Prediction in a Virtually Connected World

SBIR 第二阶段 (COVID-19)：虚拟连接世界中改进的 5G 网络性能和需求预测

• 批准号: 2025956
• 负责人: Payman Samadi
• 金额: $ 100万
• 依托单位: EINO, INC.
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025956&HistoricalAwards=false
• 关键词: SBIR; Phase; II; COVID; 19

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be to ensure accessible, reliable, high-speed internet. Operators spend $350 B annually on network upgrades, but only an estimated 75% of this is effective. This project will help improve the efficiency of upgrades by providing hyper-local information about network demand as well as forecasting future needs. This can be applied both to upgrading current networks and deployment of future 5G networks, and it improves energy efficiency by aligning resources with needs. This technology will enable ongoing and improved operation in fields ranging from education, emergency responders, government work, and corporate activities during the COVID-19 pandemic and the associated social distancing. This Small Business Innovation Research (SBIR) Phase II project will develop a novel prediction platform for efficient long-term planning of 4G and 5G mobile networks. This project will develop a platform that can accurately forecast network usage and behavior based on key performance indicators and external contextual data. The platform will provide accurate data regarding network demand at the micro-scale, localized by individual cell sites and frequency bands; this will enable better capacity optimization (i.e., when, where, how much).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力将是确保可访问、可靠、高速的互联网。运营商每年在网络升级上花费3500亿美元，但据估计只有75%是有效的。该项目将通过提供有关网络需求的超本地信息以及预测未来需求来帮助提高升级效率。这既适用于升级现有网络，也适用于未来5G网络的部署，并通过将资源与需求相匹配来提高能效。这项技术将使在教育、应急人员、政府工作和企业活动等领域的持续和改进运作能够在新冠肺炎大流行和相关的社会距离期间实现。这个小型企业创新研究(SBIR)第二阶段项目将为4G和5G移动网络的高效长期规划开发一个新的预测平台。该项目将开发一个可以根据关键性能指标和外部背景数据准确预测网络使用和行为的平台。该平台将按单个小区站点和频段提供有关微观规模的网络需求的准确数据；这将使容量得到更好的优化(即，何时、何地、多少)。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。