Efficient Management and Opportunistic Usage of Radio Spectrum based Graph Theory

基于图论的无线电频谱高效管理与机会利用

• 批准号: 1247545
• 负责人: Geoffrey Ye Li
• 金额: $ 39.6万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1247545&HistoricalAwards=false
• 关键词: Efficient; Management; Opportunistic; Usage; Radio

The tremendous increasing demand to support various data applications requires a wireless network to be more agile and spectral-efficient. Cognitive Radio technology allows secondary users to access the underutilized licensed bands and is a promising solution. However, the coexistence of secondary users with the authorized primary users requires careful and dynamic resource management to deal with interference, which is a very challenging issue. The major objective of this project is to deal with the issue by utilizing graph theory/algorithms to develop efficient resource management schemes for general coexistence scenarios.

支持各种数据应用的需求不断增长，要求无线网络更加敏捷和频谱效率更高。认知无线电技术允许二级用户访问未充分利用的许可频段，是一种很有前途的解决方案。然而，次要用户与授权主要用户的共存需要仔细的动态资源管理来应对干扰，这是一个非常具有挑战性的问题。该项目的主要目标是通过利用图论/算法来解决这个问题，为一般共存场景开发有效的资源管理方案。