EAGER: A Social and Context Aware Spectrum Management Framework for Heterogeneous Cognitive Radio Networks

EAGER：异构认知无线电网络的社交和情境感知频谱管理框架

• 批准号: 1352726
• 负责人: Liran Ma
• 金额: $ 12.84万
• 依托单位: Texas Christian University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1352726&HistoricalAwards=false
• 关键词: EAGER; Social; Context; Aware; Spectrum

Cognitive radio is a promising technology that can significantly alleviate spectrum scarcity and improve the spectral efficiency. This project conducts a comprehensive study on developing a social and context aware spectrum management framework that targets maximizing the spectral efficiency for cognitive radio networks with heterogeneous devices and applications. This research is motivated by the idea that the efficient management of spectrum requires the consideration of the entire network ecosystem where the users and their applications interact with each other. In the proposed framework, a novel fairness criterion is developed for the network scenarios under consideration. With the developed fairness criterion as a constraint, a social and context aware spectrum allocation scheme is developed, which contributes to the maximization of the spectral efficiency. In addition, a fair opportunistic spectrum sharing mechanism is proposed to further improve the spectral efficiency. Lastly, various aspects of social bonding in a group of users are exploited to reduce the delay occurred in the spectrum sharing process.The expected results of this project include novel algorithms, designs, and technologies to enable the future deployment of commercial cognitive radio networks and new emerging applications. The findings of this project will be disseminated through journal and conference publications. The developed hardware and software tools will be made available to the research community at large as well. The project integrates research and education with the intent of training undergraduate students. It also outreaches to high school students in the local area.

认知无线电是一项很有前途的技术，可以显着缓解频谱稀缺并提高频谱效率。该项目对开发社会和情境感知频谱管理框架进行了全面研究，该框架的目标是最大限度地提高具有异构设备和应用程序的认知无线电网络的频谱效率。这项研究的动机是，有效的频谱管理需要考虑用户及其应用程序相互交互的整个网络生态系统。在所提出的框架中，为所考虑的网络场景开发了一种新颖的公平标准。以制定的公平标准作为约束，开发了社会和情境感知的频谱分配方案，这有助于频谱效率的最大化。此外，还提出了公平的机会频谱共享机制，以进一步提高频谱效率。最后，利用一组用户中社交联系的各个方面来减少频谱共享过程中发生的延迟。该项目的预期结果包括新颖的算法、设计和技术，以实现商业认知无线电网络的未来部署和新出现的应用程序。该项目的研究结果将通过期刊和会议出版物传播。开发的硬件和软件工具也将提供给整个研究界。该项目将研究和教育结合起来，旨在培养本科生。它还扩展到当地的高中生。