NeTS:Collaborative Research: Cognitive Capacity Harvesting Networks

NeTS：协作研究：认知能力收获网络

• 批准号: 1147813
• 负责人: Yuguang Fang
• 金额: $ 29.14万
• 依托单位: University of Florida
• 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=1147813&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.

由于智能手机等智能设备提供的日益多样化的应用的出现，无线蜂窝系统等传统电信系统已无法满足日益爆炸的流量需求，也无法有效应对可用频谱短缺或无线系统拥塞的问题。另一方面，巨大的时空网络资源，例如频谱和计算能力，却严重未得到充分利用。显然，如何主动收获这些剩余资源并伺机利用它们来支持多样化的用户流量是一个重要但具有挑战性的研究方向。尽管认知无线电网络旨在解决这一紧迫问题，但缺乏充分利用机会频谱接入的可行网络架构，并且存在许多实际设计问题有待解决。在该项目中，PI们提出了一种灵活的认知能力收获（CCH）网络架构，可以在时间和空间上智能地收获网络资源，并开发相应的技术来有效地支持用户的服务。此外，CCH网络以及新开发的网络技术可以使非认知设备显着从认知无线电网络中获益，并为认知无线电网络设计提供创新方法。此外，该项目研究开辟了更好地利用剩余网络资源的新思路，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，可以增强教育计划中的国际成分，并培养更具竞争力的劳动力。