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Impact of primary user duty cycle on cognitive secondary user utilization efficiency in a generalized κ-μ fading channel

机译:广义κ-μ衰落信道中主要用户占空比对认知次要用户利用效率的影响

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Efficient spectrum utilization by secondary users (SU) during the inactivity phase of primary users (PU) is of utmost interest for dynamic spectrum access in a cognitive radio environment. In this paper, we investigate the utilization efficiency of cognitive radio users with respect to the realistic estimate of PU duty cycle (DC) in AWGN and generalized κ-μ fading channels for a fixed interference ratio. We have adopted a two-state hidden Markov model (HMM) for capturing PU activity. PU duty cycle is calculated by considering exponentially distributed ON-OFF channel model. Performance evaluation has been done by two approaches: one is the conventional approach which is widely used and the other is based on a-posterior log-likelihood ratio (LLR). As per prior investigations, the LLR approach is found to be very useful in evaluating SU utilization in AWGN channels. In the present work, we have extended similar analysis to generalized fading channel model. Our analytical studies demonstrate a significant decrease in SU utilization efficiency in a fading environment as compare to AWGN while LLR approach still outperforming the results of the conventional scheme.
机译:在认知无线电环境中的动态频谱访问中,二级用户(SU)在主要用户(PU)的不活动阶段期间对频谱的有效利用至关重要。本文针对固定干扰比,针对AWGN和广义κ-μ衰落信道中PU占空比(DC)的实际估计,研究认知无线电用户的利用效率。我们采用了两种状态的隐马尔可夫模型(HMM)来捕获PU活动。通过考虑指数分布的ON-OFF通道模型来计算PU占空比。性能评估通过两种方法进行:一种是广泛使用的常规方法,另一种是基于后对数似然比(LLR)。根据先前的研究,发现LLR方法对于评估AWGN信道中的SU利用率非常有用。在目前的工作中,我们已经将类似的分析扩展到广义衰落信道模型。我们的分析研究表明,与AWGN相比,在衰落环境中SU的利用率显着降低,而LLR方法仍然优于传统方案的结果。

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