公开(公告)号：US20150257156A1

公开(公告)日：2015-09-10

申请号：US14643789

申请日：2015-03-10

Applicant: The Arizona Board of Regents on Behalf of the University of Arizona

Inventor： Tamal Bose ,  Haris Volos ,  Garrett Vanhoy ,  Mohammed Hirzallah ,  Carlos Bastidas

IPC: H04W72/04 ,  H04W72/08

CPC classification number: H04W72/00 ,  H04B17/3913 ,  H04W16/14 ,  H04W72/04 ,  H04W84/18

Abstract: An intelligent cognitive radio system is disclosed that acquires information about its environment to make operational decisions. Dynamic radio frequency mapping provides estimates of RF power levels over an area where spectrum activity or changes in the environment may be transient. These power levels can be used for a variety of applications such as interference management, spectrum policing, and facilitating spectrum auctions. The RF mapping can be accomplished by a network of sensors that are distributed in a geographical area and used to spatially sample signal levels. The present invention can quantify the effect of aliasing on the estimation of an RF map as a function of the sampling density and the number of antennas used at the sensing node.

Abstract translation: 公开了一种智能认知无线电系统，其获取关于其环境的信息以进行操作决策。 动态射频映射提供频谱活动或环境变化可能是瞬态的区域的RF功率电平的估计。 这些功率电平可用于各种应用，如干扰管理，频谱管制，以及促进频谱拍卖。 RF映射可以通过分布在地理区域中并用于空间采样信号电平的传感器网络来实现。 本发明可以根据采样密度和在感测节点处使用的天线数量来量化混叠对RF映射的估计的影响。