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Backpropagation-Based Cooperative Localization of Primary User for Avoiding Hidden-Node Problem in Cognitive Networks

机译:基于反向传播的主用户协作本地化以避免认知网络中的隐藏节点问题

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Cognitive radio (CR) is a technology to implement opportunistic spectrum sharing to improve the spectrum utilization. However, there exists a hidden-node problem, which can be a big challenge to solve especially when the primary receiver is passive listening. We aim to provide a solution to the hidden-node problem for passive-listening receiver based on cooperation of multiple CRs. Specifically, we consider a cooperative GPS-enabled cognitive network. Once the existence of PU is detected, a localization algorithm will be employed to first estimate the path loss model for the environment based on backpropagation method and then to locate the position of PU. Finally, a disable region is identified taking into account the communication range of both the PU and the CR. The CRs within the disabled region are prohibited to transmit in order to avoid interfering with the primary receiver. Both analysis and simulation results are provided.
机译:认知无线电(CR)是一种实现机会频谱共享以提高频谱利用率的技术。但是,存在一个隐藏节点问题,尤其是在主接收器为被动侦听时,这可能是一个很大的挑战。我们旨在基于多个CR的协作为被动监听接收机提供隐藏节点问题的解决方案。具体来说,我们考虑一个支持GPS的合作认知网络。一旦检测到PU的存在,将采用定位算法,首先基于反向传播方法估计环境的路径损耗模型,然后定位PU的位置。最后,考虑到PU和CR两者的通信范围来识别禁用区域。禁止发送禁用区域内的CR,以避免干扰主接收器。提供了分析和仿真结果。

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