CNN and DCGAN for Spectrum Sensors over Rayleigh Fading Channel

Spectrum sensing (SS) has attracted much attention in the field of Internet of things (IoT) due to its capacity of discovering the available spectrum holes and improving the spectrum efficiency. However, the limited sensing time leads to insufficient sampling data due to the tradeoff between sensing...

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Veröffentlicht in:	Wireless communications and mobile computing 2021-01, Vol.2021 (1)
Hauptverfasser:	Mu, Junsheng, Tan, Youheng, Xie, Dongliang, Zhang, Fangpei, Jing, Xiaojun
Format:	Artikel
Sprache:	eng
Schlagworte:	Antennas Artificial intelligence Color Datasets Deep learning False alarms Generative adversarial networks Internet of Things Neural networks Noise Sensors Signal to noise ratio Spectrum allocation Wireless communications Wireless networks
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