CAREER: Optimization and Design of Next-Generation Cognitive Mesh Networks: From Theory to Practice

职业：下一代认知网状网络的优化和设计：从理论到实践

• 批准号: 0846044
• 负责人: Bechir Hamdaoui
• 金额: $ 40.99万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0846044&HistoricalAwards=false
• 关键词: CAREER; Optimization; Design; Next; Generation

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Cognitive radios and multi-antenna systems are two recent components that each offers a great potential for improving spectrum efficiency. The former enables opportunistic spectrum access (OSA), while the latter enables multiple-input, multiple-output (MIMO) capability. This project develops theoretical and practical frameworks for wireless mesh networks when they are both MIMO-enabled and OSA-capable. The objective of this research is three-fold. First, it takes a bottom-up, cross-layer approach to understand, model, and characterize the optimal end-to-end network throughput while accounting for physical-layer limitations and link-layer contention constraints. Second, the project develops efficient networking algorithms by investigating new paradigms that shift away from traditional ones to suit these OSA-capable, MIMO-enabled networks. Third, this project implements the thus-developed techniques in a real, experimental wireless mesh network that is built from off-the-shelf commercial components. This demonstrates both the feasibility and the effectiveness of the developed concepts.This project provides scientific solutions to the spectrum scarcity problem. The results are disseminated via publications, software releases, and seminars. It involves undergraduate students in research activities during their class and independent study projects; (ii) creates the opportunity for K-12 and minority students to work on real-life problems and excites them to pursue engineering careers, and enriches teaching and learning curricula by integration into new course development.

该奖项是根据2009年《美国复苏和再投资法案》(公法111-5)提供资金的。认知无线电和多天线系统是最近的两个组件，每个组件都为提高频谱效率提供了巨大的潜力。前者支持机会性频谱接入(OSA)，而后者支持多输入多输出(MIMO)能力。该项目为支持MIMO和OSA的无线Mesh网络开发了理论和实践框架。这项研究的目的有三个方面。首先，它采用自下而上、跨层的方法来了解、建模和表征最佳的端到端网络吞吐量，同时考虑物理层限制和链路层争用限制。其次，该项目通过研究新的模式来开发高效的网络算法，这些新的模式不同于传统的模式，以适应这些支持OSA和MIMO的网络。第三，该项目在一个真实的、实验性的无线网状网络中实施了这样开发的技术，该网络是由现成的商业组件构建的。这证明了所提出的概念的可行性和有效性，为解决频谱稀缺问题提供了科学的解决方案。结果通过出版物、软件发布和研讨会进行传播。它让本科生参与课堂上的研究活动和独立学习项目；(Ii)为K-12和少数族裔学生创造机会解决现实生活中的问题，并激发他们追求工程职业，并通过融入新课程开发来丰富教与学课程。