NeTS-WN: Collaborative Research: Cognition, Collaboration, and Competition in Hybrid Wireless Networks

NeTS-WN：协作研究：混合无线网络中的认知、协作和竞争

• 批准号: 0721433
• 负责人: Shalinee Kishore
• 金额: $ 15万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721433&HistoricalAwards=false
• 关键词: NeTS; WN; Collaborative; Research; Cognition

The wireless network of the future is envisioned to be a seamless integration of several existing and emerging wireless networks. A key enabler for this network of the future is the cognitive software defined radio (SDR) which takes advantage of programmable hardware modules to dynamically and adaptively modify the functionality of various radio subsystems. The goal of this research is to facilitate seamless integration of wireless networks where information sent from a source to a destination can traverse multiple links that belong to heterogeneous underlying networks. The design and operation of the resulting hybrid wireless network is determined by three characteristics of future software defined radios: Cognition, Collaboration, and Competition. Research results will demonstrate how inherently competitive SDRs (i) work together to learn about current local network conditions; and (ii) use this information to construct adaptive links and routes across these local networks (and "non-networks") so that end-to end quality of service requirements are met. Specific research outcomes will include distributed, collaborative algorithms that aid cognitive SDRs in spectrum sensing and hybrid wireless network formation.This research will impact both commercial and military service providers who wish to extend network capacity and coverage by interconnecting existing and emerging wireless systems. The PIs aim to demonstrate broader impact of hybrid wireless networks by offering short workshops that educate rural Pennsylvania communities on its benefits. Additionally, research results will be disseminated and incorporated into wireless communications and networking courses at the respective institutions.

未来的无线网络被设想为几个现有的和新兴的无线网络的无缝集成。 这种未来网络的关键使能器是认知软件定义无线电（SDR），其利用可编程硬件模块来动态地和自适应地修改各种无线电子系统的功能。 本研究的目标是促进无线网络的无缝集成，其中从源发送到目的地的信息可以穿过属于异构底层网络的多个链路。 由此产生的混合无线网络的设计和操作取决于未来软件定义无线电的三个特征：认知、协作和竞争。 研究结果将展示内在竞争性SDR如何（i）协同工作以了解当前本地网络条件;以及（ii）使用此信息构建跨这些本地网络（和“非网络”）的自适应链路和路由，从而满足端到端服务质量要求。 具体的研究成果将包括分布式协作算法，帮助认知SDR在频谱感知和混合无线网络的形成。这项研究将影响商业和军事服务提供商谁希望扩大网络容量和覆盖范围的互连现有和新兴的无线系统。PI旨在通过提供简短的研讨会来展示混合无线网络的更广泛影响，这些研讨会教育宾夕法尼亚州的农村社区了解其好处。此外，研究成果将被传播并纳入各机构的无线通信和网络课程。