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Analysis of Active Spectrum Handoff Effect Based on Cooperative Spectrum Prediction

机译:基于合作频谱预测的有源频谱切换效果分析

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In the cognitive radio network environment, because the sub-user opportunistic use of "spectrum hole" to communicate, resulting in the inevitable uninterrupted system for spectrum switching, and frequent spectral switching system performance significantly reduced. In this paper, an active spectrum switching method based on improved cooperative spectrum prediction is proposed based on the existing active spectrum switching based on single user prediction. This method can effectively improve the performance of spectrum switching by introducing the cooperative prediction module into the frame structure and the idea of dividing the frame structure frequency domain. Based on the experimental simulation, it is proved that the performance of the method is improved compared with the traditional single-user prediction active spectrum switching method and the periodic spectrum sensing switching method, the average switching delay, channel switching frequency and collision rate and other performance indicators have been effectively improved.
机译:在认知无线电网络环境中,由于次用户机会性地使用“频谱孔”进行通信,导致不可避免地进行不间断的频谱切换系统,并且频繁的频谱切换系统性能大大降低。在现有基于单用户预测的有源频谱切换的基础上,提出了一种基于改进的协作频谱预测的有源频谱切换方法。通过将协作预测模块引入帧结构和划分帧结构频域的思想,该方法可以有效地提高频谱切换的性能。通过实验仿真证明,与传统的单用户预测有源频谱切换方法,周期频谱感知切换方法,平均切换延迟,信道切换频率和冲突率等相比,该方法的性能有所提高。绩效指标得到有效改善。

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