NeTS: Collaborative Research: Cognitive Capacity Harvesting Networks
NeTS: Collaborative Research: Cognitive Capacity Harvesting Networks
批准号:
1147851
负责人:
Pan Li
金额:
$17.86万
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
项目状态:
已结题
起止时间:
2011-09-01 至 2014-08-31
中文摘要
由于智能手机等智能设备所提供的应用日益多样化,无线蜂窝系统等传统电信系统已经不能满足日益爆炸式增长的通信需求,也不能有效地解决无线系统可用频谱不足或拥塞的问题。另一方面,频谱和计算能力等巨大的时空网络资源利用率严重不足。显然,如何主动收获这些剩余资源,并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。虽然认知无线电网络可以解决这一紧迫问题,但在充分利用机会性频谱接入方面缺乏可行的网络架构,并且存在许多实际设计问题需要解决。在本项目中,pi提出了一种灵活的认知能力收获(Cognitive Capacity Harvesting, CCH)网络架构,在时间和空间上智能地收获网络资源,并开发相应的技术,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从认知无线电网络中显著获益,并为认知无线电网络设计提供了创新方法。此外,本课题研究为更好地利用剩余网络资源开辟了一个新的思想流派,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,可以提高教育计划的国际组成部分,培养更有竞争力的劳动力。
英文摘要
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.
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