RAPID: Assessing the Impact on Operational Mobile Networks in the Face of COVID-19 Public Health Crisis

RAPID：评估面对 COVID-19 公共卫生危机对运营移动网络的影响

• 批准号: 2027650
• 负责人: Chunyi Peng
• 金额: $ 10万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2021-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2027650&HistoricalAwards=false
• 关键词: RAPID; Assessing; Impact; Operational; Mobile

This project proposes to measure and diagnose performance and reliability of the national 4G/4.5G mobile networks in face of COVID-19 pandemic. The objective is to meet the immediate need of assessing operational mobile networks, unveiling technical issues, understanding their pressing challenges, and proposing remedies without major infrastructure upgrade during this public health crisis. The project exploits a novel on-device measurement approach. It leverages extensive efforts in building software tools and conducting large-scale measurement in the recent years to conduct five thrusts. First, it plans to conduct a longitudinal study to quantify how performance of US carrier networks change in face of COVID-19 and analyze why behind the pressing technical challenges. Second, it plans to design and assess data-driven device-side solutions to boost data performance without any infrastructure upgrade. Third, it plans to characterize and diagnose failures which likely occur more often during this period of time. Forth, it plans to assess security issues disclosed in prior studies and examine how possible attacks vary. Fifth, it plans to open up data and facilitate researchers in the community to empower long-term network innovations.The project will help assess the mobile users' experience during the COVID-19 pandemic. In the long term, open datasets collected and released by this project will empower data-driven software solutions to efficiently utilize enhanced network capabilities and accelerate 5G innovations in mobile network research community.The software tools and collected data will be available at http://milab.cs.purdue.edu/. The repository will be maintained for at least five years.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.

该项目建议测量和诊断国家 4G/4.5G 移动网络在 COVID-19 大流行情况下的性能和可靠性。其目标是满足在这场公共卫生危机期间评估运营移动网络、揭示技术问题、了解其紧迫挑战并提出补救措施的迫切需求，而无需进行重大基础设施升级。该项目采用了一种新颖的设备上测量方法。它利用近年来在软件工具建设和大规模测量方面的广泛努力，进行了五个重点工作。首先，它计划进行一项纵向研究，以量化美国运营商网络的性能在面对 COVID-19 时如何变化，并分析紧迫技术挑战背后的原因。其次，它计划设计和评估数据驱动的设备端解决方案，以在不升级任何基础设施的情况下提高数据性能。第三，它计划描述和诊断这段时间可能更频繁发生的故障。第四，它计划评估先前研究中披露的安全问题，并研究可能的攻击如何变化。第五，计划开放数据，促进社区研究人员赋能长期网络创新。该项目将帮助评估移动用户在COVID-19大流行期间的体验。从长远来看，该项目收集和发布的开放数据集将使数据驱动的软件解决方案能够有效利用增强的网络功能，并加速移动网络研究界的 5G 创新。软件工具和收集的数据将在 http://milab.cs.purdue.edu/ 上提供。该存储库将维护至少五年。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

iCellSpeed: increasing cellular data speed with device-assisted cell selection

• DOI: 10.1145/3372224.3419201
• 发表时间: 2020-09
• 期刊: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking
• 作者: Haotian Deng;Qianru Li;Jingqi Huang;Chunyi Peng

Reconfiguring Cell Selection in 4G/5G Networks

重新配置 4G/5G 网络中的小区选择

• 发表时间: 2021
• 期刊: International Conference on Network Protocols
• 作者: Li, Qianru;Peng, Chunyi
• 通讯作者: Peng, Chunyi

Experience: a five-year retrospective of MobileInsight

• DOI: 10.1145/3447993.3448138
• 发表时间: 2021-09
• 期刊: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking
• 作者: Yuanjie Li;Chunyi Peng;Zhehui Zhang;Zhaowei Tan;Haotian Deng;Jinghao Zhao;Qianru Li;Yunqi Guo