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Cooperation based spectrum management scheme in ad-hoc cognitive radio system

机译:Ad hoc认知无线电系统中基于协作的频谱管理方案

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In cognitive radio (CR) ad-hoc systems, the performance of system can be increased by using cooperation between cognitive users. In this paper, we compare three cooperation schemes for CR ad-hoc systems which are non-cooperation, sensing-cooperation and full-cooperation of sensing and band, in which the spectrum information or the band can be cooperatively shared among cognitive users. Unlike other cooperative sensing schemes which focus on cooperative sensing on single band, our cooperation model focuses on cooperative sensing on multiple bands. We propose the concept of spectrum pool which is the common knowledge on spectrum among cognitive users and this spectrum pool is maintained by sharing sensing results of sensing users on different bands. Given that the cognitive users have more information on the spectrum compared to the case when there is no information sharing, the number of sensing attempts to find vacant band can be reduced and the performance of CR system can be improved. We analyze the performance of three cooperation schemes by using game theory and state transition diagram. Through simulation, we show that our analysis is well matched to simulation results. We also find that the throughput can be improved by utilizing spectrum pool and the throughput can be deteriorated due to the selfish behavior of cognitive users when band can be shared by the cognitive users.
机译:在认知无线电(CR)临时系统中,可以通过使用认知用户之间的协作来提高系统的性能。在本文中,我们比较了CR ad-hoc系统的三种协作方案:不协作,感知协作和感知与频段的完全协作,其中频谱信息或频段可以在认知用户之间进行共享。与其他专注于单频带上的协作感知的协作感知方案不同,我们的协作模型着重于多频带上的协作感知。我们提出了频谱池的概念,这是认知用户之间关于频谱的常识,并且该频谱池是通过共享不同频带上的感知用户的感知结果来维护的。与没有信息共享的情况相比,由于认知用户在频谱上具有更多信息,因此可以减少寻找空闲频段的尝试次数,并且可以提高CR系统的性能。我们利用博弈论和状态转移图分析了三种合作方案的性能。通过仿真,我们表明我们的分析与仿真结果非常吻合。我们还发现,通过利用频谱池可以提高吞吐量,并且当认知用户可以共享频段时,由于认知用户的自私行为,吞吐量可能会下降。

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