NeTS: Small: Collaborative Research: Distributed Robust Spectrum Sensing and Sharing in Cognitive Radio Networks

未来的认知无线电网络(CRN)将由动态移动的智能手机、平板电脑和笔记本电脑等异类设备组成。准确和稳健的频谱感知和识别未经授权的频谱使用是未来无线电系统频谱效率的重要组成部分。该项目旨在利用基于共识的协作，以自组织和可扩展的网络结构来捕获频谱用户的蜂拥而至的行为，并以完全分布式的方式提供协作频谱感知。该方案结合控制理论和机器学习技术，为协作频谱感知设计了安全的加权平均一致性，不仅能够捕获具有异质设备的CRN中的群聚行为，而且对实际的信道条件具有鲁棒性。稳健的定位方法是基于动态信号强度映射的，能够定位多个恶意用户。此外，新技术还使用实际的试验台进行了验证，并进行了园区部署和向行业协作者进行系统演示。控制理论与动态频谱接入的结合将在提高CRN频谱效率的方式上带来一场新的革命。该项目是利用多学科知识(如控制系统和机器学习技术)在未来无线电系统中实现更有效的频谱使用的先驱，旨在缓解频谱占用日益拥挤的问题，并支持不同类型设备的共存。该项目还开展了广泛的教育和外联活动，以鼓励学生在科学和工程领域从事职业。研究成果将通过在会议、会议和期刊上的演讲和出版物向学术界和工业界传播。

The future Cognitive Radio Networks (CRNs) will consist of heterogeneous devices such as smartphones, tablets and laptops moving dynamically. Accurate and robust spectrum sensing and identification of unauthorized spectrum usage are essential components of spectral efficiency in future radio systems. This project aims to utilize consensus-based cooperation featuring self-organizable and scalable network structure to capture the swarming behaviors of spectrum users and providing cooperative spectrum sensing in a fully distributed manner. By using a combination of control theory and machine learning techniques, the project designs secure weighted average consensus for cooperative spectrum sensing that can not only capture the swarming behaviors in CRNs with heterogeneous devices, but also is robust to practical channel conditions. Robust localization approaches are developed grounded on dynamic signal strength mapping, which have the capability to localize multiple malicious users. Additionally, the new techniques are validated using an actual testbed with on-campus deployment and system demonstration to industrial collaborators. The integration of control theory with dynamic spectrum access will enable a new revolution in the way for enhancing spectrum efficiency in CRNs. The project serves as a pioneer in exploiting multi-disciplinary knowledge (e.g., control systems and machine learning techniques) to achieve a more efficient spectrum usage in future radio systems, aiming to alleviate the increasing crowdness of the spectrum occupancy and support the co-existence of heterogeneous devices. This project also carries out a broad range of education and outreach activities to encourage students to pursue careers in the fields of science and engineering. Research results will be disseminated to academia and industry through presentations and publications in meetings, conferences and journals.