CAREER: Routing in Cognitive Radio Networks Considering Activities of Primary Users

在认知无线电网络（crn）中，有两种类型的用户：主用户（Primary user）和从用户（Secondary user）。单个单元通过未分配的频段通信，而不会中断单个单元。人们普遍认为，pu的活动遵循一些概率模型，而不考虑时间、地理和社会关系。然而，su绝对可以利用pu的时间和地理依赖的社会活动模式来获得更多的频谱机会，并帮助以更有意义的方式呈现crn的基本特征。不幸的是，这一事实被忽视了。本项目对整合社交网络和传统crn技术的路由协议/算法设计进行了全面的研究。提出了考虑pu活动模式的统计学习模型和社区检测方法。研究了二级网络在一定活动模式和社区模式下的基本性质。为crn的上层协议设计提供了相应的指导。这个项目在crn和社交网络的理论和实践方面都有很大的影响。针对pu的特点，阐述了新的研究挑战和相应问题的意义。该项目将研究与教育相结合，旨在吸引本科生和研究生进入crn领域。它还向高中生伸出援手。研究结果将为CRN协会提供宝贵的资源，并将在会议、期刊和互联网上发表。

Two types of users, Primary Users (PUs) and Secondary Users (SUs), share common spectrum bands in Cognitive Radio Networks (CRNs). SUs communicate through un-assigned spectrum bands without disrupting PUs. It is widely assumed that the activities of PUs follow some probabilistic models regardless of time, geography and social relationships. However, the time-and-geography-dependent social activity patterns of PUs can definitely be taken advantage of by SUs to obtain more spectrum opportunities and help with featuring the fundamental characteristics of CRNs in a more meaningful way. Unfortunately, this fact has been overlooked. This project conducts a comprehensive study on designing routing protocols/algorithms integrating technologies from social networks and traditional CRNs. New statistic learning models and community detection methods considering PUs' activity patterns are proposed. The fundamental properties of secondary networks under certain activity patterns and community patterns of PUs are investigated. Corresponding guidance for designing upper layer protocols for CRNs is provided. This project has a strong impact on both theoretical and practical aspects of CRNs as well as social networks. Considering the characteristics of PUs, new research challenges and significance of the corresponding problems are elaborated. The project integrates research and education with the intent of attracting undergraduate and graduate students to the area of CRNs. It also outreaches high school students. The outcomes will provide valuable resources for the CRN society and will be published in conferences, journals, and on the Internet.