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On a New Quantization Algorithm for Secondary User Scheduling in 5G Network., , and . DiCES-N@ICTAC, volume 1130 of Communications in Computer and Information Science, page 91-101. Springer, (2019)On the impact of pdf-matched quantization for heterogeneous cognitive radio networks., , and . ISIVC, page 259-263. IEEE, (2016)Scheduling scheme for cognitive radio networks with imperfect channel Knowledge., , and . PIMRC, page 3145-3149. IEEE, (2013)Correction: Machine learning models for modeling the biosorption of Fe(III) ions by activated carbon from olive stone., , , , , , and . Neural Comput. Appl., 36 (21): 13373 (July 2024)A multi-threshold feedback scheme for cognitive radio networks based on opportunistic beamforming., , and . EUSIPCO, page 576-580. IEEE, (2014)FPMIPv6-S: A new network-based mobility management scheme for 6LoWPAN., , , and . Internet Things, (2021)Analysis of feedback multi-thresholding in cognitive radio networks based on opportunistic beamforming., , and . COMNET, page 1-5. IEEE, (2015)Joint interference minimizing and scheduling in underlay cognitive radio networks based on non-orthogonal opportunistic beamforming., , and . ATSIP, page 486-491. IEEE, (2014)Machine learning models for modeling the biosorption of Fe(III) ions by activated carbon from olive stone., , , , , , and . Neural Comput. Appl., 36 (21): 13357-13372 (July 2024)A Two-Phase Scheduling Scheme for Cognitive Radio Networks Based on Opportunistic Beamforming., , and . VTC Spring, page 1-5. IEEE, (2013)