NeTS: Collaborative Research: Cognitive Capacity Harvesting Networks

NeTS：协作研究：认知能力收获网络

• 批准号: 1147851
• 负责人: Pan Li
• 金额: $ 17.86万
• 依托单位: Mississippi State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1147851&HistoricalAwards=false
• 关键词: NeTS; Collaborative; Research; Cognitive; Capacity

Due to the emergence of ever increasing diversified applications provided by the smart devices such as smart phones, traditional telecommunications systems such as the wireless cellular systems no longer meet the ever exploding traffic demand, and cannot effectively deal with the shortage of available spectrum or congestion over wireless systems. On the other hand, tremendous temporal and spatial network resources, such as spectrum and computational capability, are severely under-utilized. Obviously, how to proactively harvest such residual resources and utilize them opportunistically to support diversified user traffic is an important yet challenging research direction. Although cognitive radio networks are to address this pressing issue, there is lack of viable network architecture in taking full advantage of the opportunistic spectrum access and there exist many practical design issues to be resolved. In this project, the PIs propose a flexible Cognitive Capacity Harvesting (CCH) network architecture to intelligently harvest network resources in both time and space and develop the corresponding technologies to support users' services effectively. Moreover, the CCH network along with the newly developed networking technologies can enable non-cognitive devices to significantly gain benefits from cognitive radio networks and provides innovative approaches to the cognitive radio networks design. Furthermore, this project research opens a new school of thoughts in better utilizing the residual network resources and potentially changes the design approaches for next-generation telecommunications systems. Finally, this project involves the international partners and can enhance the international components in the educational program and prepare more competitive workforce.

由于智能设备（例如智能手机）提供的多元化应用程序的出现，传统的电信系统（例如无线蜂窝系统）不再满足爆炸的交通需求，并且无法有效地处理无线系统上可用的频谱或充血的短缺。另一方面，巨大的时间和空间网络资源（例如频谱和计算能力）被严重充分利用。显然，如何主动收集此类剩余资源并利用它们来支持多元化的用户流量是一个重要但充满挑战的研究方向。尽管认知无线电网络是为了解决这个紧迫的问题，但是在充分利用机会频谱访问的情况下，缺乏可行的网络体系结构，并且存在许多实用的设计问题。在这个项目中，PIS提出了灵活的认知能力收获（CCH）网络体系结构，以智能收集时间和空间的网络资源，并开发相应的技术，以有效地支持用户服务。此外，CCH网络以及新开发的网络技术可以使非认知设备能够从认知无线网络中显着获得好处，并为认知无线网络设计提供创新的方法。此外，该项目研究开辟了一种新的思想流派，以更好地利用残留网络资源，并有可能改变下一代电信系统的设计方法。最后，该项目涉及国际合作伙伴，并可以增强教育计划中的国际组成部分并准备更具竞争力的劳动力。