MiLAC-aided beamforming with quantization-aware EE optimization improves energy efficiency at moderate spectral efficiency cost and expands the SE-EE operating region versus digital and hybrid methods.
Massive MIMO for next generation wireless systems,
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
DDA-Net achieves more than 5 dB NMSE gain over baselines at 10 dB SNR on QuaDRiGa UMa-NLOS and retains a 1.5 dB lead on 3GPP CDL-B under zero-shot testing by unfolding ADMM with a closed-form consistency step and a lightweight Doppler denoiser.
citing papers explorer
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Quantization-Aware EE Optimization and SE-EE Tradeoff for MiLAC-Aided MU-MISO Beamforming
MiLAC-aided beamforming with quantization-aware EE optimization improves energy efficiency at moderate spectral efficiency cost and expands the SE-EE operating region versus digital and hybrid methods.
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DDA-Net: Accurate TDD Channel Estimation via Deep Unfolding the Doppler-Delay-Angle Representation of Channel Signals
DDA-Net achieves more than 5 dB NMSE gain over baselines at 10 dB SNR on QuaDRiGa UMa-NLOS and retains a 1.5 dB lead on 3GPP CDL-B under zero-shot testing by unfolding ADMM with a closed-form consistency step and a lightweight Doppler denoiser.