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.

认知无线电是一种很有前途的技术，可以显著缓解频谱稀缺，提高频谱利用率。该项目对开发一个社会和上下文感知的频谱管理框架进行了全面的研究，该框架的目标是最大限度地提高具有异构设备和应用的认知无线电网络的频谱效率。这项研究的动机是这样一个想法，即频谱的有效管理需要考虑整个网络生态系统，其中用户和他们的应用程序相互作用。在建议的框架中，一个新的公平性标准正在考虑的网络场景。以公平性准则为约束条件，提出了一种社会和上下文感知的频谱分配方案，该方案有助于频谱效率的最大化。此外，提出了一种公平的机会频谱共享机制，以进一步提高频谱效率。最后，利用一组用户的社会联系的各个方面，以减少在频谱共享过程中发生的延迟。该项目的预期成果包括新的算法，设计和技术，使未来的商业认知无线电网络和新兴的应用部署。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广大研究界。该项目整合了研究和教育，旨在培养本科生。它还延伸到当地的高中生。