Collaborative Research: NeTS-NBD: Optimal Channel-Aware Access Control in Multi-hop Wireless Networks

合作研究：NeTS-NBD：多跳无线网络中的最优信道感知访问控制

• 批准号: 0626620
• 负责人: Anthony Ephremides
• 金额: $ 10万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0626620&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; NBD; Optimal

This project aims at developing a formal methodology for analyzing channel-aware random access in wireless networks. The unique features of this effort include: the development of models that incorporate, amongst other parameters, channel state as a central aspect of their formulation, and the use of cross-cutting tools to analyze the performance of such networks. The mathematical backbone from which the model and resulting solutions arise in this project are optimization and game theory. The specific results that will emerge during the course of this effort include: models that merge channel awareness and capture, a better understanding of the use of opportunism in random access, and finally, an understanding of the ways in which degrees of freedom can be allocated in multiple-antenna random access.The impact of the underlying physical medium on the performance of access schemes can be considerable, particularly in wireless settings where the channel is highly dynamic and is impacted by myriad changes in the surrounding environment. Thus, a succinct representation of the physical medium combined with sophisticated analytical techniques to tackle the resulting models are essential to tap into the gains resulting from the use of channel-awareness in random access.

该项目旨在开发一种正式的方法来分析无线网络中的信道感知随机接入。这项工作的独特之处包括：开发模型，其中将通道状态等参数纳入其制定的核心方面，以及使用横切工具来分析此类网络的性能。该项目中模型和结果解决方案的数学支柱是优化和博弈论。在这项工作的过程中将出现的具体成果包括：融合了信道感知和捕获的模型，更好地理解随机接入中机会主义的使用，最后，理解自由度的分配方式底层物理介质对接入方案性能的影响可能相当大，特别是在信道高度动态且受到周围环境无数变化影响的无线设置中。因此，物理介质的简洁表示与复杂的分析技术相结合来处理生成的模型对于利用随机接入中使用信道感知所带来的收益至关重要。