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Performance analysis of IEEE 802.15.7-based visible light communication systems in underground mine environments.

, , , , , , and . Photonic Netw. Commun., 43 (1): 23-33 (2022)

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A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning., , , and . J. Netw. Comput. Appl., (2022)On the Performance of Angular Diversity Receivers in Underground Mining VLC Systems., , , , , , and . CSNDSP, page 795-800. IEEE, (2022)Performance Improvement for Multi-User Millimeter-Wave Massive MIMO Systems., , , and . IEEE Access, (2020)Achieving the performance of the MMSE receiver with the maximum ratio combiner., , , and . IET Commun., 15 (20): 2513-2525 (2021)Extreme Learning Machine-Based Receiver for Multi-User Massive MIMO Systems., , , and . IEEE Commun. Lett., 25 (2): 484-488 (2021)Comparative Study of Artificial Neural Network Based Channel Equalization Methods for mmWave Communications., , , and . IEEE Access, (2021)Performance analysis of IEEE 802.15.7-based visible light communication systems in underground mine environments., , , , , , and . Photonic Netw. Commun., 43 (1): 23-33 (2022)Comparative study of channel estimators for massive MIMO 5G NR systems., , , and . IET Commun., 14 (7): 1175-1184 (2020)Novel Multilayer Extreme Learning Machine as a Massive MIMO Receiver for Millimeter Wave Communications., , , , , , and . IEEE Access, (2022)