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首页> 外文期刊>Procedia Computer Science >Artificial Intelligence Based Cooperative Spectrum Sensing Algorithm for Cognitive Radio Networks
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Artificial Intelligence Based Cooperative Spectrum Sensing Algorithm for Cognitive Radio Networks

机译：基于人工智能的认知无线电网络协作频谱感知算法

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摘要

Cognitive Radio (CR) technology is regarded as a key network technology used to manage the limitation of the available spectrum in wireless communication networks. Spectrum Sensing (SS) is the core process in CR engine based on detecting the free channels and sharing it among other users. In wideband spectrum, many algorithms are proposed to sense the available free channels. Cooperative sensing is mainly considered as an effective solution of signal fading and shadowing problems in CR networks.From another side, CR networks can utilize Artificial Intelligence (AI) techniques for dynamically sensing and decision making processes. In this paper, a blind adaptive spectrum sensing algorithm based over centralized cooperative sensing platform is proposed. Then, an Adaptive Neuro-Fuzzy Interference System (ANFIS) technique is applied in decision-making process to achieve the optimum and accurate decisions.The simulation process and the output results showed that, the proposed technique outperforms both a standalone sensing techniques and other cooperative sensing with conventional decision making algorithms regarding to the probability of false alarms, probability of detection and probability of missed detection especially in low Signal to Noise Ratio (SNR). The results obtained by the proposed algorithm based on ANFIS decision making technique outperformed the other conventional decision making techniques.
机译：认知无线电（CR）技术被视为一种关键网络技术，用于管理无线通信网络中可用频谱的限制。频谱感知（SS）是CR引擎中的核心过程，基于检测空闲信道并在其他用户之间共享。在宽带频谱中，提出了许多算法来检测可用的空闲信道。合作感测主要被认为是CR网络中信号衰落和阴影问题的有效解决方案。另一方面，CR网络可以利用人工智能（AI）技术进行动态感测和决策过程。提出了一种基于集中式协同感知平台的盲自适应频谱感知算法。然后，在决策过程中采用了自适应神经模糊干扰系统（ANFIS）技术来实现最优，准确的决策。仿真过程和输出结果表明，所提出的技术优于独立的传感技术和其他协作技术。使用常规决策算法检测有关误报的概率，检测的概率和错过的检测的概率，尤其是在低信噪比（SNR）中。所提出的基于ANFIS决策技术的算法获得的结果优于其他常规决策技术。

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