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Quickest Spectrum Awareness under Correlated Spatio-temporal Variations

相关时空变化下最快的频谱感知

基本信息

批准号：
1933107
负责人：
Ali Tajer
金额：
$ 42.02万
依托单位：
Rensselaer Polytechnic Institute
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1933107&HistoricalAwards=false
关键词：
Quickest Spectrum Awareness under Correlated

项目摘要

Wireless communication technology is rapidly transcending its primary applications (e.g., cellular communications) and plays a transformative role as the critical backbone in various emerging new technologies that affect different technological, social, and economic domains. All such technologies are viable at the expense of increasing demands for radio spectrum, which is the key commodity in the wireless industry. Enabling long-term and sustainable wireless infrastructures necessitates technologies that enhance spectrum access efficiency and allow for real-time and fine-granularity spectrum management. The effectiveness of spectrum management critically depends on forming agile and accurate situational awareness of spectrum occupancy states across time and space. This research project focuses on developing a comprehensive analytical framework for forming situational awareness of the spatio-temporal variations in wireless spectrum opportunities. This framework establishes bi-directional interactions with the sensing circuitry. In the forward direction, it receives measurements collected by the sensors in order to form various detection, inferential, and resource management decisions. In the reverse direction, based on the data deemed necessary for delivering accurate situational awareness, it sends instructions to the sensors on how to proceed with collecting data from various segments of the spectrum. The decisions formed by this framework can also be used for visualizing decisions and alarms. The research tasks of this project include: developing a comprehensive framework that coherently integrates several critical components for innovative spectrum sensing, forming agile inferential decisions, achieving fast computations and fast adaptivity in dynamic settings, and ensuring decision robustness under environment uncertainties.To develop such a comprehensive framework, this project has several research thrusts, each addressing one aspect of the framework. In each thrust, the project pursues the following two intertwined research objectives: (1) Theoretical Foundations: The first objective is to establish the fundamental limits of forming quickest situational awareness, while recognizing the physical restraints due to the cost of sensing, communication delay tolerance, model uncertainties, and dynamic variations of the beneficiaries of spectrum sensing, which encompass various autonomous wireless applications that operate under distinct protocols and infrastructures. (2) Algorithm Design: Driven by the observations gained from the uncovered fundamental limits, the second objective is to design data analytic tools and mechanisms for forming the quickest situational awareness, which is amenable to real-time and scalable implementation, exhibiting sound decision guarantees, and fully adaptive and responsive to the spatio-temporal variations of the spectrum occupancy status in wideband spectrum. This project will produce a decision-theoretic framework for forming quick and reliable situational awareness of the spectral occupancy states over different segments in wideband spectrum. To achieve this goal, the project will address long-standing open problems in quickest detection of change over networked data, open problems in controlled sensing, as well as challenging problems motivated by the physical constraints of spectrum sensing such as 1) sensing budget, 2) decision-making under model uncertainty, and 3) detecting adversaries that seek to compromise sensing data and distort spectrum sensing decisions.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.

无线通信技术正在迅速超越其主要应用（例如，蜂窝通信），并在影响不同技术、社会和经济领域的各种新兴新技术中作为关键骨干发挥着变革性作用。所有这些技术都是可行的，但代价是对无线电频谱的需求不断增加，而无线电频谱是无线行业的关键商品。实现长期和可持续的无线基础设施需要能够提高频谱接入效率并允许实时和细粒度频谱管理的技术。频谱管理的有效性关键取决于形成跨时间和空间的频谱占用状态的敏捷和准确的态势感知。该研究项目的重点是开发一个全面的分析框架，形成无线频谱机会的时空变化的态势感知。该框架建立与感测电路的双向交互。在前向方向上，它接收传感器收集的测量结果，以便形成各种检测、推理和资源管理决策。在相反的方向上，基于被认为是提供准确的态势感知所必需的数据，它向传感器发送关于如何继续从频谱的各个部分收集数据的指令。由该框架形成的决策也可以用于可视化决策和警报。该项目的研究任务包括：开发一个综合框架，该框架连贯地集成了创新频谱感知的几个关键组件，形成敏捷的推理决策，实现动态设置中的快速计算和快速自适应性，并确保环境不确定性下的决策鲁棒性。在每一个方向，该项目追求以下两个相互交织的研究目标：（1）理论基础：第一个目标是建立形成最快态势感知的基本限制，同时认识到由于感知成本、通信延迟容限、模型不确定性和频谱感知受益者的动态变化而造成的物理限制，其包括在不同协议和基础设施下操作的各种自主无线应用。(2)算法设计：第二个目标是设计数据分析工具和机制，以形成最快的态势感知，这是适合实时和可扩展的实施，表现出良好的决策保证，并充分适应和响应宽带频谱占用状态的时空变化。该项目将产生一个决策理论框架，形成快速和可靠的态势感知的频谱占用状态在宽带频谱的不同段。为了实现这一目标，该项目将解决长期存在的开放问题，即最快检测网络数据的变化，控制传感中的开放问题，以及由频谱传感的物理约束激发的挑战性问题，如1）传感预算，2）模型不确定性下的决策，和3）检测试图损害感知数据和扭曲频谱感知决策的对手。该奖项反映了NSF的法定使命，并通过使用基金会的学术价值和更广泛的影响审查标准。