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Spectrum-aware dynamic channel assignment in cognitive radio networks

机译:认知无线电网络中的频谱感知动态信道分配

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During the past few years, cognitive radio networks (CRNs) have emerged as a solution for the problems created due to fixed spectrum allocation such as inefficient usage of licensed spectrum. CRNs aim at solving this problem by exploiting the spectrum holes (the spectrum not being used by primary radio nodes at a particular time) and allocating the spectrum dynamically. In this paper, we address the problem of dynamic channel assignment for cognitive radio users in multi-radio multichannel cognitive radio networks (MRMC-CRNs). We propose an efficient spectrum-aware dynamic channel assignment (SA-DCA) strategy for such networks. SA-DCA utilizes available channels and assigns them to multiple radio interfaces of cognitive radio nodes based on primary radio unoccupancy, minimum interference to primary radio nodes, maximum connectivity and minimum interference between cognitive radio nodes. We perform simulations in NS-2 and compare the performance of SA-DCA with two related strategies. Simulation results show that SA-DCA assigns channels efficiently and results in significantly reduced interference to primary radio nodes and increased packet delivery ratio in MRMC-CRNs.
机译:在过去几年中,认知无线电网络(CRNS)已成为由于固定频谱分配而产生的问题的解决方案,例如许可频谱的使用率效率低下。 CRN旨在通过利用频谱孔来解决这个问题(在特定时间的主无线电节点不被使用)并动态地分配频谱。在本文中,我们解决了多无线电多通道认知无线电网络(MRMC-CRNS)中的认知无线电用户动态信道分配问题。我们为这种网络提出了一种有效的频谱感知动态信道分配(SA-DCA)策略。 SA-DCA利用可用的频道,并根据主无线电小区,对主无线电节点的最小干扰,对主无线电节点的最小干扰,最大连接和认知无线电节点之间的最小干扰来分配给电子频道的多个无线电接口。我们在NS-2中进行仿真,并比较SA-DCA的性能与两个相关的策略。仿真结果表明,SA-DCA有效地分配通道,导致对初级无线电节点的干扰显着降低,并增加了MRMC-CRN中的分组输送比率。

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