Two convolutional neural networks (NBI-CNet and LLR-CNet) jointly estimate and cancel multi-tone narrowband interference in OFDM systems and whiten non-Gaussian residuals for LDPC decoding, eliminating error floors at lower complexity than iterative compressed-sensing baselines.
Integrating Terrestrial and Satellite Multibeam Systems Toward 6G: Techniques and Challenges for Interference Mitigation,
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Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems
Two convolutional neural networks (NBI-CNet and LLR-CNet) jointly estimate and cancel multi-tone narrowband interference in OFDM systems and whiten non-Gaussian residuals for LDPC decoding, eliminating error floors at lower complexity than iterative compressed-sensing baselines.