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Waiting Probability Analysis for Dynamic Spectrum Access in Cognitive Radio Networks

机译:认知无线电网络中动态频谱接入的等待概率分析

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Cognitive radio networking is emerging paradigm for future generation wireless networks in which cognitive radio users (also known as secondary users) dynamically access the RF spectrum opportunistically without creating harmful interference to primary users. In this paper, the waiting probability of secondary users in the cognitive radio network is analyzed. We consider a cognitive radio network where multiple secondary users (SUs) contend for spectrum access using time division multiple access over idle primary user (PU) channels. Using queue dynamics as Poisson driven stochastic process, we characterize the waiting probability of secondary users. Generally speaking, in practical systems, secondary users of cognitive radio network would have no knowledge of activities of other users, thus the probability of being idle or contention probabilities of SUs' in cognitive radio network have to be assigned according to the available local information. Our focus is on SUs waiting probability analysis, for which a systematic understanding is lacking. Simulation results show that the use of multiple channels and/or multiple slots leads to significant delay reduction and transmission fairness.
机译:认知无线电网络正在成为下一代无线网络的新兴范例,在这种网络中,认知无线电用户(也称为次要用户)可以机会性地动态访问RF频谱,而不会对主要用户造成有害干扰。本文分析了认知无线电网络中二级用户的等待概率。我们考虑一个认知无线电网络,其中多个次要用户(SU)争用通过空闲的主要用户(PU)信道进行时分多址访问的频谱访问。使用队列动力学作为泊松驱动的随机过程,我们表征了二级用户的等待概率。一般而言,在实际系统中,认知无线电网络的次级用户将不了解其他用户的活动,因此必须根据可用的本地信息来分配空闲的概率或SU在认知无线电网络中的竞争概率。我们的重点是SU的等待概率分析,对此缺乏系统的了解。仿真结果表明,使用多个通道和/或多个时隙可显着减少延迟并提高传输公平性。

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