一种新型高效的5G机会频谱接入混合算法

A. Nassim, Fergani Lamya
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引用次数: 0

摘要

认知无线电CR通过允许机会频谱接入来解决频谱稀缺问题。认知无线电面临的主要挑战是频谱感知,目前已有多种方法。本文提出了一种基于能量探测器ED和循环平稳探测器CSD的两级混合探测器。在我们的检测器中,利用CSD来估计ED的阈值。所提出的方法使我们能够摆脱ED的噪声不确定性问题,并且与CSD相比,提高了执行时间。最后,该混合方法提高了检测概率。结果与经典的ED和CSD方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel and Efficient Hybrid algorithm for 5G Opportunistic Spectrum Access
Cognitive radio CR is proposed to solve the problem of spectral scarcity by allowing opportunistic spectrum access. The main challenge for cognitive radio is spectrum sensing so many methods exists. In this paper we propose a two-stage hybrid detector based on energy detector ED and cyclostationnary detector CSD. The decision is made by combining the two stages, in our detector the CSD is leveraged to estimate the threshold of the ED. The proposed method allows us to get rid of noise uncertainty problem of the ED and improve the time execution compared to CSD. Finally this hybrid method enhances the detection probability. The results are compared with the classical ED and CSD methods.
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