Abstract
Probabilistic shaping(PS) technique can reduce Signal-Noise Ratio (SNR) requirement and save the transmission power, which is meaningful for millimeter wave (mm-wave) long-distance wireless transmission. Traditional Digital Signal Processing(DSP) algorithms are affected by the uneven probability distribution of constellation points when working on PS signals. We propose a novel complex-valued classifier with a weighted loss function to replace traditional algorithms in PS-16QAM W-band long-distance transmission. The proposed algorithm can provide a receiving sensitivity improvement of about 0.5 dBm. It can reduce the training sequence length by 4%–7%, the computational complexity by 10.53%–16.89%, and the number of training iterations by 23.08%, respectively.
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