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.

该项目建议在Covid-19的大流行中衡量和诊断国家4G/4.5G移动网络的性能和可靠性。目的是满足评估运营移动网络，揭示技术问题，了解他们的紧迫挑战以及在这场公共卫生危机期间没有重大基础设施升级的补救措施的迫切需要。该项目利用了一种新颖的设备测量方法。它利用近年来构建软件工具和进行大规模测量的大量努力来进行五个推力。首先，它计划进行一项纵向研究，以量化美国载体网络的性能在Covid-19中如何改变，并分析为什么紧迫的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，以提高数据性能，而无需任何基础架构升级。第三，它计划表征和诊断失败，这些失败可能在此期间更频繁地发生。第四，它计划评估先前研究中披露的安全问题，并检查可能的攻击变化。第五，它计划开放数据并促进社区中的研究人员赋予长期网络创新能力。该项目将帮助评估移动用户在Covid-19-19大流行期间的经验。从长远来看，该项目收集和发布的开放数据集将授权数据驱动的软件解决方案有效利用增强的网络功能，并加速移动网络研究社区中的5G创新。该存储库将至少维持五年。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估值得支持的。

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

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

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