The technology of radio frequency fingerprint identification based on deep learning for 5G application

Security and Safety in Physical Layer Systems

Open Access

Table 1.

Transmitter Impairments Setup

Transmitter	Case T1: All the UEs have different gain imbalance G_tx and phase imbalance θ_tx. G_tx follows a uniform distribution within the range [−1 1] dB, θ_tx follows same distribution within the range [−10 10] degrees.
	Case T2: All the UEs have different PA nonlinearity parameters, namely {IP1dB, IIP3, a_VGA}. IP1dB and IIP3 follow the chi-square distribution within the range [25 35] dBm and [35 47] dBm respectively. The a_VGA follow uniform distribution within the range [0 6] dB.
	Case T3: All the UEs have different PA nonlinearity and IQ imbalance as well as Phase noise. PA nonlinearity and IQ imbalance parameters follow the same distributions as cases 1 and 2. Signal sampling points are 1099 points.
	Case T4: All UE impairment parameters are kept the same as Case3. Signal sampling points are 5526 points.

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