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

未来的无线网络将支持大规模的能量受限的计算受限的用户设备，这些用户设备通常需要执行延迟敏感但计算密集的任务。尽管能够提升本地设备计算能力和电池容量的技术已经被大幅推进，但是在用户设备中的高计算/处理需求与低计算/电池容量之间仍然存在巨大的差距。移动的边缘计算（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功率并减少延迟。受无线技术和挑战的最新进展的启发，所提出的研究旨在探索一种新的框架，该框架可以联合考虑在基于移动的边缘计算的无线异构网络中的通信和计算，以实现安全和高效的卸载，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的潜力，通过共同考虑边缘计算和通信来实现安全，延迟关键，计算密集型应用，如增强现实/虚拟现实，连接和自动驾驶汽车以及远程医疗诊断，从而彻底改变下一代无线网络设计。它可以显着促进在新兴的移动的边缘网络领域的理解，这将在现代社会中发挥关键作用，以实现智能环境与计算密集型移动的应用。建议的研究框架开发安全的多址接入方案在卸载，计算协调和调度计划选择用户设备和计算任务卸载。该研究将确定独特的技术挑战，并探索许多新的方面，在移动的边缘计算使无线异构网络，包括非正交多址接入，计算卸载模式选择，成功的干扰消除解码顺序设计，混合多址接入分析，和异构MEC协调，由安全，效率和用户公平性的联合考虑驱动。 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，并将与科学研究和工程界分享原型/模拟工具。该项目的成功可以极大地推进对基于移动的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，可以显着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。

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.