Depthwise separable U-Net variants for blind co-channel interference cancellation achieve higher MSE scores than WaveNet and ConvTasNet at a fraction of the computational cost.
Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA- Based CDRT Networks with Imperfect SIC and Co-Channel Interfer- ence,
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High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning
Depthwise separable U-Net variants for blind co-channel interference cancellation achieve higher MSE scores than WaveNet and ConvTasNet at a fraction of the computational cost.