CAREER: Amplifying Intelligence in Mobile Networked Systems

职业：增强移动网络系统的智能

• 批准号: 1750953
• 负责人: Chunyi Peng
• 金额: $ 55.5万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1750953&HistoricalAwards=false
• 关键词: CAREER; Amplifying; Intelligence; Mobile; Networked

The mobile Internet revolution is ongoing, as the technology evolves from the fourth generation (4G) to 5G and beyond, with a need to incorporate a substantially higher degree of intelligence than is present in networks today. This need is driven by the observation that current 4G systems do not provide sufficient information on network behaviors. Consequently, it poses challenges to optimize performance, diagnose failures, and dis-incentivizes deployment of new applications such as virtual and augmented realities (AR/VR), autonomous vehicles, massive Internet of things. This project seeks to enhance intelligence to the 4G/5G signaling subsystem, offering critical network control utilities, such as radio resource control and mobility management. These new designs will lead to improvements in performance and reliability to the mobile Internet infrastructure for our society. The investigator will interact closely with mobile network companies for possible technology transfer. The project will also seek to influence the upcoming 5G and beyond 5G-standardization. It will recruit and train a new generation of engineers and students, including those from groups under-represented in this area.This project explores a novel approach of Amplifying Intelligence in Mobile networked systems (called AIM). AIM will tackle two challenges: (1) lack of knowledge at the mobile clients: The mobile operating system and application programs lack information on the underlying "black-box" network operations; (2) High complexity and lack of verification in the infrastructure: The infrastructure suffers from complex designs and operations without proper verification. AIM is a multi-disciplinary solution that applies machine learning, data science, distributed systems and computing theory to mobile networking. Through its data-driven and verifiable design, AIM offers a viable, new solution suite in four concrete technical thrusts: (T1) protocol and function analytics for data-driven clients; (T2) provable and simplified control-plane signaling for data access; (T3) enhanced error-handling design with new investigative capability of tracing; and (T4) mobile VR for data-plane signaling intelligence. This project complements the ongoing efforts on wireless access (5G New Radio) and architectural innovations (e.g., network slicing and Network Function Virtualization).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.

随着技术从第四代 (4G) 发展到 5G 及更高版本，移动互联网革命正在进行中，需要融入比当今网络更高程度的智能。这一需求是由于观察到当前 4G 系统没有提供有关网络行为的足够信息而驱动的。因此，它对优化性能、诊断故障提出了挑战，并抑制了虚拟和增强现实 (AR/VR)、自动驾驶汽车、大规模物联网等新应用程序的部署。该项目旨在增强 4G/5G 信令子系统的智能性，提供关键的网络控制实用程序，例如无线电资源控制和移动性管理。这些新设计将提高我们社会移动互联网基础设施的性能和可靠性。调查人员将与移动网络公司密切互动，以实现可能的技术转让。该项目还将寻求影响即将到来的 5G 及后续 5G 标准化。它将招募和培训新一代工程师和学生，包括来自该领域代表性不足的群体的工程师和学生。该项目探索了一种在移动网络系统（称为 AIM）中增强智能的新方法。 AIM将解决两个挑战：（1）移动客户端缺乏知识：移动操作系统和应用程序缺乏底层“黑盒”网络操作的信息； (2) 基础设施复杂性高且缺乏验证：基础设施的设计和操作复杂，缺乏适当的验证。 AIM 是一个多学科解决方案，将机器学习、数据科学、分布式系统和计算理论应用于移动网络。通过其数据驱动和可验证的设计，AIM 在四个具体技术主旨上提供了可行的新解决方案套件：(T1) 数据驱动客户的协议和功能分析； (T2) 用于数据访问的可证明且简化的控制平面信令； (T3) 增强的错误处理设计，具有新的追踪调查能力； (T4) 用于数据平面信令智能的移动 VR。该项目补充了无线接入（5G 新无线电）和架构创新（例如网络切片和网络功能虚拟化）方面正在进行的努力。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评估进行评估，被认为值得支持。影响审查标准。

项目成果

CEIVE: Combating Caller ID Spoofing on 4G Mobile Phones Via Callee-Only Inference and Verification

• DOI: 10.1145/3241539.3241573
• 发表时间: 2018-10
• 期刊: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
• 作者: Haotian Deng;Weicheng Wang;Chunyi Peng

VPPlus: Exploring the Potentials of Video Processing for Live Video Analytics at the Edge

• DOI: 10.1109/iwqos54832.2022.9812896
• 发表时间: 2022-06
• 期刊: 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)
• 作者: Junpeng Guo;Shengqing Xia;Chunyi Peng

Demo: Combating Caller ID Spoofing on 4G Phones Via CEIVE

演示：通过 CEIVE 打击 4G 手机上的来电显示欺骗

• DOI: 10.1145/3241539.3267725
• 发表时间: 2018
• 期刊: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
• 作者: Deng, Haotian;Peng, Chunyi
• 通讯作者: Peng, Chunyi

Mobility Support in Cellular Networks: A Measurement Study on Its Configurations and Implications

• DOI: 10.1145/3278532.3278546
• 发表时间: 2018-10
• 期刊: Proceedings of the Internet Measurement Conference 2018
• 作者: Haotian Deng;Chunyi Peng;Ans Fida;Jiayi Meng;Y. C. Hu

CA++: Enhancing Carrier Aggregation Beyond 5G

• DOI: 10.1145/3570361.3592500
• 发表时间: 2023-07
• 期刊: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
• 作者: Qianru Li;Zhehui Zhang;Yanbing Liu;Zhaowei Tan;Chunyi Peng;Songwu Lu