CAREER: Towards Reliable and Efficient Network Monitoring in White Space

职业：在白色空间实现可靠、高效的网络监控

• 批准号: 1502584
• 负责人: Kai Zeng
• 金额: $ 30.62万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1502584&HistoricalAwards=false
• 关键词: CAREER; Towards; Reliable; Efficient; Network

Monitoring the detailed characteristics of an operational cognitive radio network in white space is critical to many system administrative tasks. It faces unique challenges due to dynamic spectrum access policy, low-power primary users, wide spectrum, and radio agility. Towards reliable and efficient monitoring of cognitive radio networks in white space, this project develops mechanisms for monitoring the activity of low power primary users (wireless microphones) and secondary networks. There are two main thrusts in this project. The first thrust focuses on a novel approach for reliable and fast detection of wireless microphone systems by integrating acoustic sensing and RF sensing under low SNR and multi-user scenarios. The second thrust is on customizable efficient monitoring of the traffic and spectrum usage pattern in secondary networks with limited number of monitors through online learning and dynamic monitoring channel switching.The research will open up a new avenue for reliable, fast, and low-complexity primary user (wireless microphone) monitoring in white space. It will promote the understanding of the data monitoring problem in dynamic spectrum access systems, and largely facilitate the operation and optimization of cognitive radio networks in white space. This project develops curricula and educates students. Materials of this project will be available online in the forms of tutorials, talks, publications, and software toolkits. Major results will be disseminated through presentations and publications in meetings, conferences and journals.

在白色空间中监测可操作的认知无线电网络的详细特性对于许多系统管理任务至关重要。由于动态频谱接入策略、低功率主用户、宽频谱和无线电灵活性，它面临着独特的挑战。为了在白色空间中对认知无线电网络进行可靠和有效的监测，该项目开发了用于监测低功率主用户（无线麦克风）和次级网络的活动的机制。在这个项目中有两个主要的推动力。第一个推力集中在一个新的方法，可靠和快速检测的无线麦克风系统集成的声学传感和RF传感在低信噪比和多用户的情况下。第二个研究方向是通过在线学习和动态监测通道切换，在监测器数量有限的情况下，对次级网络中的流量和频谱使用模式进行可定制的高效监测，为白色空间中可靠、快速、低复杂度的主用户（无线麦克风）监测开辟了一条新途径。这将促进对动态频谱接入系统中数据监测问题的理解，并在很大程度上促进认知无线电网络在白色空间的运行和优化。该项目编制课程并教育学生。该项目的材料将以教程、讲座、出版物和软件工具包的形式在线提供。主要成果将通过各种会议和期刊上的介绍和出版物传播。