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.

由于智能手机等智能设备提供的日益多样化的应用的出现，传统的通信系统，如无线蜂窝系统，已经不能满足不断增长的业务需求，无法有效地处理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，如频谱和计算能力，严重未得到充分利用。显然，如何主动获取这些剩余资源并机会性地利用它们来支持多样化的用户流量是一个重要而又具有挑战性的研究方向。虽然认知无线电网络是为了解决这一紧迫的问题，但在充分利用机会性频谱接入方面缺乏可行的网络架构，存在许多实际的设计问题需要解决。在该项目中，PI提出了一种灵活的认知能力采集(CCH)网络体系结构，以在时间和空间上智能地采集网络资源，并开发相应的技术来有效地支持用户的服务。此外，CCH网络和新开发的组网技术可以使非认知设备从认知无线电网络中获得显著的好处，并为认知无线电网络的设计提供了创新的方法。此外，这一项目研究为更好地利用剩余网络资源开辟了一种新的思路，并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，可以增强教育项目中的国际成分，培养更具竞争力的劳动力。