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Collaborative Research: CNS Core: Small: Secure and Efficient Mobile Edge Computing in Wireless Heterogeneous Networks

合作研究： CNS 核心：小型：无线异构网络中安全高效的移动边缘计算

基本信息

批准号：
2007995
负责人：
Rose Qingyang Hu
金额：
$ 25万
依托单位：
Utah State 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：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007995&HistoricalAwards=false
关键词：
Collaborative Research CNS Core Small

项目摘要

Future wireless networks will support massive energy-limited computation-constrained user equipment that are often required to execute latency sensitive yet computation-intensive tasks. Although technologies that can elevate local device computation capability and battery capacity have been substantially pushed forward, there still exists a huge gap between the high computation/processing demands and the low computation/battery capacities in user equipment. Mobile edge computing (MEC) allows user equipment to offload partial or complete computation-intensive tasks to the edge computing servers to save power and reduce latency. Inspired by recent advances in wireless technologies and challenges, the proposed research aims to explore a novel framework that can jointly consider communications and computations in a mobile edge computing-based wireless heterogeneous network to realize secure and efficient offloading and achieve desirable trade-offs among computation throughput, computation efficiency, latency, and user fairness. The proposed research activities have significant potentials to revolutionize the next generation wireless network design by jointly considering edge computations and communications in delivering secure, latency critical, computation-intensive applications such as augmented reality/virtual reality, connected and autonomous vehicle, and remote medical diagnosis. It can significantly facilitate the understanding in the field of emerging mobile edge networks, which will play a key role in the modem society to realize smart environments with computation intensive mobile applications. The proposed research framework develops secure multiple access schemes during offloading, computation coordination and scheduling schemes for selecting user equipment and computation tasks to offload. The research will identify unique technical challenges and explore many new aspects in the mobile edge computing enabled wireless heterogenous networks, including non-orthogonal multiple access, computing offloading mode selection, success interference cancellation decoding order design, hybrid multiple access analysis, and heterogeneous MEC coordination, driven by joint consideration on security, efficiency, and user fairness. The theoretical framework formulation and analysis, engineering design guidelines for practical implementation and deployment will be obtained, and prototyping/simulation tools will be shared with the scientific research and engineering communities. The success of this project can greatly advance the understanding of the critical issues in the mobile edge computing-based wireless network design and contribute a new resource allocation framework that can remarkably improve the performance of future wireless network computing. The project will also both undergraduate and graduate students research opportunities with developing and deploying new wireless network technologies, thus serving the growing need for educating and training students, especially female students and students from underrepresented groups.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.

未来的无线网络将支持大量能量有限、计算受限的用户设备，这些设备通常需要执行延迟敏感但计算密集型的任务。虽然提高本地设备计算能力和电池容量的技术已经取得了长足的进步，但用户设备的高计算/处理需求与低计算/电池容量之间仍然存在巨大的差距。移动边缘计算（MEC）允许用户设备将部分或全部计算密集型任务卸载到边缘计算服务器，以节省电力并减少延迟。受无线技术的最新进展和挑战的启发，本研究旨在探索一种新的框架，可以在基于移动边缘计算的无线异构网络中共同考虑通信和计算，以实现安全高效的卸载，并在计算吞吐量、计算效率、延迟和用户公平性之间实现理想的权衡。拟议的研究活动具有重大潜力，可以通过联合考虑边缘计算和通信，在提供安全、延迟关键、计算密集型应用（如增强现实/虚拟现实、联网和自动驾驶汽车以及远程医疗诊断）方面彻底改变下一代无线网络设计。它可以极大地促进对新兴移动边缘网络领域的理解，这将在现代社会实现计算密集型移动应用的智能环境中发挥关键作用。提出的研究框架开发了卸载过程中的安全多址方案、计算协调和调度方案，用于选择用户设备和计算任务进行卸载。该研究将识别独特的技术挑战，并探索支持移动边缘计算的无线异构网络的许多新方面，包括非正交多址、计算卸载模式选择、成功干扰消除解码顺序设计、混合多址分析和异构MEC协调，共同考虑安全性、效率和用户公平性。将获得理论框架的制定和分析，实际实施和部署的工程设计指南，并与科学研究和工程界共享原型/仿真工具。该项目的成功可以极大地促进对基于移动边缘计算的无线网络设计中关键问题的理解，并贡献一个新的资源分配框架，可以显著提高未来无线网络计算的性能。该项目还将为本科生和研究生提供开发和部署新的无线网络技术的研究机会，从而满足日益增长的教育和培训学生的需求，特别是女学生和来自代表性不足群体的学生。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。