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Three bits softened decision scheme in cooperative spectrum sensing among cognitive radio networks

机译:认知无线电网络中协作频谱感知中的三比特软化决策方案

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Recently, cognitive radio (CR) access has received much attention to overcome spectrum scarcity problem. Spectrum sensing methods are often used for finding free channels to be used by CR. In this paper, one of spectrum sensing method will be investigated. This method is cooperative spectrum sensing which is based on energy detection in CR networks in order to overcome fading, noise and shadowing effects on individual CR user and increase the reliability and efficiency of spectrum sensing. The sensing information from CR users combines at the Fusion center (common receiver) by soft combination or conventional hard combination techniques. Soft combination has excellent performance but, it requires a lot of overhead for feedback observation. In contrast, the conventional hard combination scheme requires only one bit of overhead, but it has worst performance because of loss of information caused by local hard decisions. In this paper, the detection performance improves by increasing the levels of local observations by proposing three-bit softened decision scheme which is not clarified until now. Analytical Expressions of proposed three bits scheme will be derived. Design parameters are optimized to find the detection performance with a given false alarm probability. The simulation results show that, at 90% detection probability, the cooperative signal detection improves by 1.75 dB of signal to noise ratio over conventional hard combination (i.e., one bit scheme). Moreover, comparisons between proposed scheme, one bit and two bits schemes will be made.
机译:最近,认知无线电(CR)的访问已引起人们的广泛关注,以克服频谱稀缺问题。频谱感测方法通常用于查找CR要使用的空闲信道。在本文中,将研究一种频谱感测方法。这种方法是基于CR网络中能量检测的协作频谱感知,以克服对单个CR用户的衰落,噪声和阴影影响,并提高频谱感知的可靠性和效率。来自CR用户的感测信息通过软组合或常规硬组合技术在Fusion中心(公共接收器)进行组合。软组合具有出色的性能,但是它需要大量开销来进行反馈观察。相比之下,传统的硬组合方案仅需要一点点开销,但是由于本地硬决策导致信息丢失,因此性能最差。本文提出了一种三比特软化决策方案,提高了局部观测水平,提高了检测性能,目前尚不清楚。将推导出所提出的三比特方案的解析表达式。优化设计参数以找到具有给定误报概率的检测性能。仿真结果表明,在90%的检测概率下,协同信号检测比常规的硬组合(即,一位方案)提高了1.75 dB的信噪比。此外,将对所提出的方案,一位方案和两位方案进行比较。

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