CNS Core: Small: Robust and Decentralized Mobility and Connectivity Management in UAV-Enabled Aerial Wireless Networks

CNS 核心:小型:无人机空中无线网络中稳健且分散的移动性和连接管理

基本信息

  • 批准号:
    2221875
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

With the advances in the technology, unmanned aerial vehicles (UAVs) have become lighter, cheaper, and easier to deploy. Combined with their mobility, autonomy and flexibility, UAVs are now poised to be used in a variety of real-world scenarios (such as delivery of medical supplies, disaster relief, emergency search and rescue, environment monitoring, and remote sensing), and are expected to be an integral part of next-generation wireless networks. At the same time, integration of autonomous UAVs into next-generation wireless networks while maintaining the reliability, safety, and connectivity is a critical undertaking, and many challenges and questions remain. Several key questions in this context are the following. How would airspace constraints (e.g., safety and collision avoidance) interact with network connectivity requirements? As the number of UAVs grows and centralized control becomes prohibitive, can decentralized autonomous decision-making be achieved for mobility and connectivity management in aerial networks? Can decentralized/distributed resource allocation policies be developed and how would these policies impact mobility and connectivity management? What is the sensitivity of decision-making policies to adversarial attacks? Can robust learning and secure decision-making be achieved in aerial networks in the presence of adversarial attacks? Hence, there exists a critical knowledge gap, and this project addresses this gap via interconnected thrusts. Specifically, the primary objective in this project is to design and analyze robust, intelligent, and decentralized decision-making policies in UAV-enabled wireless networks. To realize the vision of autonomous aerial networks, the critical considerations of mobility and connectivity management are addressed jointly with dynamic resource allocation in the challenging but practically more relevant setting of decentralized operation. In this setting, both connectivity and control constraints such as collision avoidance requirements and kinematic limitations in UAV path planning are taken into account. Decentralized and autonomous decision-making strategies are to be developed via distributed learning with only local observation/sensing. Robustness in decision-making is to be established via sensitivity analysis to adversarial attacks and the development of defensive mechanisms. Overall, the project seeks to establish a strong analytical and algorithmic framework by combining tools from wireless networking, optimization, control, deep reinforcement learning, and adversarial learning. The outcomes of this research will support applications such as disaster relief and remote sensing. Integration of this research project with education will be accomplished through newly introduced courses, and involving undergraduates in the PIs' research program.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.
随着技术的进步,无人驾驶飞行器(uav)变得更轻、更便宜、更容易部署。结合其移动性、自主性和灵活性,无人机现在已准备好用于各种现实场景(例如医疗用品的交付、救灾、紧急搜索和救援、环境监测和遥感),并有望成为下一代无线网络的组成部分。与此同时,在保持可靠性、安全性和连接性的同时,将自主无人机集成到下一代无线网络中是一项至关重要的任务,仍然存在许多挑战和问题。这方面的几个关键问题如下。空域限制(如安全和避碰)如何与网络连接要求相互作用?随着无人机数量的增长,集中控制变得令人望而却步,在空中网络的机动性和连通性管理中,分散的自主决策能否实现?可以开发分散/分布式资源分配策略吗?这些策略将如何影响移动性和连接性管理?决策政策对对抗性攻击的敏感性是什么?在存在对抗性攻击的空中网络中,是否可以实现强大的学习和安全决策?因此,存在一个关键的知识差距,而这个项目通过相互关联的推进来解决这个差距。具体来说,该项目的主要目标是在无人机无线网络中设计和分析鲁棒、智能和分散的决策政策。为了实现自主空中网络的愿景,在具有挑战性但实际上更相关的分散运营环境中,将移动性和连通性管理的关键考虑因素与动态资源分配结合起来解决。在这种情况下,考虑了无人机路径规划中的连通性和控制约束,如避碰要求和运动学限制。分散和自主的决策策略将通过仅具有局部观察/感知的分布式学习来开发。决策的稳健性是通过对抗性攻击的敏感性分析和防御机制的发展来建立的。总体而言,该项目旨在通过结合无线网络、优化、控制、深度强化学习和对抗性学习等工具,建立一个强大的分析和算法框架。这项研究的成果将支持救灾和遥感等应用。本研究计划与教育的整合将透过新引入的课程来完成,并让本科生参与pi的研究计划。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。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Predictive Control Framework for UAS Trajectory Planning Considering 4G/5G Communication Link Quality
考虑4G/5G通信链路质量的无人机轨迹规划预测控制框架
  • DOI:
    10.1109/icns58246.2023.10124315
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zuo, Rui;Wang, Zixi;Caicedo Bastidas, Carlos E.;Cenk Gursoy, M.;Solomon, Adrian;Qiu, Qinru
  • 通讯作者:
    Qiu, Qinru
Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning
  • DOI:
    10.1109/fnwf55208.2022.00076
  • 发表时间:
    2022-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yi Shi;Y. Sagduyu;T. Erpek;M. C. Gursoy
  • 通讯作者:
    Yi Shi;Y. Sagduyu;T. Erpek;M. C. Gursoy
Resilient Path Planning for UAVs in Data Collection Under Adversarial Attacks
Sensitivity of Dynamic Network Slicing to Deep Reinforcement Learning Based Jamming Attacks
How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning
  • DOI:
    10.1109/ojvt.2022.3229229
  • 发表时间:
    2021-01
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Yi Shi;Y. Sagduyu;T. Erpek;M. C. Gursoy
  • 通讯作者:
    Yi Shi;Y. Sagduyu;T. Erpek;M. C. Gursoy
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Mustafa Gursoy其他文献

Mustafa Gursoy的其他文献

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{{ truncateString('Mustafa Gursoy', 18)}}的其他基金

CIF: Small: Fundamental Limits of Wireless Communications with Stochastic Information Flows and Queueing Constraints
CIF:小:具有随机信息流和排队约束的无线通信的基本限制
  • 批准号:
    1618615
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
EARS: Collaborative Research: Mobile Millimeter-Wave Networking: Distributed Cognition and Coordination Algorithms using Novel On-Chip Phased-Arrays
EARS:协作研究:移动毫米波网络:使用新型片上相控阵的分布式认知和协调算法
  • 批准号:
    1443994
  • 财政年份:
    2014
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CIF: Small: Energy Efficiency in Wireless Communications under Queueing Constraints
CIF:小:排队约束下无线通信的能源效率
  • 批准号:
    1206288
  • 财政年份:
    2011
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CIF: Small: Energy Efficiency in Wireless Communications under Queueing Constraints
CIF:小:排队约束下无线通信的能源效率
  • 批准号:
    0917265
  • 财政年份:
    2009
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CAREER: Energy-Efficient Wireless Communications Under Channel Uncertainty: Fundamental Limits and Tradeoffs
职业:信道不确定性下的节能无线通信:基本限制和权衡
  • 批准号:
    0546384
  • 财政年份:
    2006
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant

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