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Enhanced energy detection and moving average thresholding for cognitive femtocell networks

机译:增强型认知毫微微小区网络的能量检测和移动平均阈值

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Underutilization of spectrum is one of the main hurdles for emerging technologies. A major portion of the spectrum is vacant in many bands and there is a misconception that the spectrum scarcity is prevalent. Cognitive radio and femtocell have been considered as efficient and reliable technologies to explore vacant spectrum and allocate it to the opportunistic users. In this paper, a femtocell is incorporated in a cognitive radio environment which minimizes the interference and increases its capacity. Spectrum underutilization is greatly solved by this kind of environment. This is achieved by allowing the opportunistic users to use the free and available spectrum. In this paper, enhanced energy detection and moving average thresholding are applied for efficient spectrum sensing. The network created in this work is a proactive protocol enabled network which maintains the information of primary users as well as vacant channel information. Opportunistic users access this information for reliable communication and spectrum sensing.
机译:频谱利用不足是新兴技术的主要障碍之一。频谱的大部分在许多频带中都是空置的,并且人们误认为频谱稀缺是普遍的。认知无线电和毫微微小区被认为是探索空闲频谱并将其分配给机会用户的有效且可靠的技术。在本文中,毫微微小区被并入认知无线电环境中,从而使干扰最小化并增加其容量。这种环境极大地解决了频谱利用不足的问题。这是通过允许机会用户使用免费频谱和可用频谱来实现的。在本文中,增强的能量检测和移动平均阈值被应用于有效的频谱感测。在这项工作中创建的网络是一个启用了主动协议的网络,该网络可以维护主要用户的信息以及空闲信道的信息。机会用户访问此信息以进行可靠的通信和频谱感测。

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