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A Soft Sensing-Based Cognitive Access Scheme Exploiting Primary Feedback

机译:基于软感知的初级反馈认知访问方案

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摘要

In this paper, we examine a cognitive spectrum access scheme in whichsecondary users exploit the primary feedback information. We consider anoverlay secondary network employing a random access scheme in which secondaryusers access the channel by certain access probabilities that are function ofthe spectrum sensing metric. In setting our problem, we assume that secondaryusers can eavesdrop on the primary link's feedback. We study the cognitiveradio network from a queuing theory point of view. Access probabilities aredetermined by solving a secondary throughput maximization problem subject to aconstraint on the primary queues' stability. First, we formulate our problemwhich is found to be non-convex. Yet, we solve it efficiently by exploiting thestructure of the secondary throughput equation. Our scheme yields improvedresults in, both, the secondary user throughput and the primary user packetdelay. In addition, it comes very close to the optimal genie-aided scheme inwhich secondary users act upon the presumed perfect knowledge of the primaryuser's activity.
机译:在本文中,我们研究了一种认知频谱访问方案,其中辅助用户利用了主要反馈信息。我们考虑采用随机接入方案的叠加二级网络,其中二级用户通过某些接入概率来接入信道,该接入概率是频谱感知度量的函数。在设置问题时,我们假设辅助用户可以窃听主链接的反馈。我们从排队论的角度研究认知无线电网络。通过解决受主队列稳定性约束的次要吞吐量最大化问题来确定访问概率。首先,我们提出问题的非凸性。然而,我们通过利用二级吞吐量方程的结构有效地解决了问题。我们的方案在次要用户吞吐量和主要用户数据包延迟方面都产生了改进的结果。此外,它非常接近最佳的精灵辅助方案,在该方案中,次要用户根据假定的对主要用户活动的完全了解进行操作。

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