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Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink., , , , , , , и . IEEE J. Sel. Areas Commun., 38 (8): 1678-1697 (2020)Cooperative access networks: Optimum fronthaul quantization in distributed Massive MIMO and cloud RAN., , и . CoRR, (2018)On The Uplink Throughput of Zero-Forcing in Cell-Free Massive MIMO with Coarse Quantization., , и . CoRR, (2018)Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO With Optimal Uniform Quantization., , , , , , и . IEEE Trans. Commun., 69 (1): 223-245 (2021)A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning., , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (1): 119-133 (2023)On the Uplink Throughput of Zero Forcing in Cell-Free Massive MIMO With Coarse Quantization., , и . IEEE Trans. Vehicular Technology, 68 (7): 7220-7224 (2019)Zero-Forcing Precoding with Partially Outdated CSI over Time-Varying MIMO Broadcast Channels., , и . VTC Spring, стр. 1-5. IEEE, (2013)A Study of Dynamic Multipath Clusters at 60 GHz in a Large Indoor Environment., , , и . GLOBECOM Workshops, стр. 1-6. IEEE, (2018)NOMA/OMA Mode Selection-Based Cell-Free Massive MIMO., , , , , и . ICC, стр. 1-6. IEEE, (2019)Threshold-based CSI feedback reduction for time-varying multiple-input multiple-output broadcast channels., , и . IET Commun., (2014)