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Comparative Study of Artificial Neural Network Based Channel Equalization Methods for mmWave Communications
ArticleAbstract: In this paper, we compare two artificial neural networks (ANNs) approaches designed to perform channPalabras claves:5G and beyond, channel equalization, elm, mmWave communications, Multilayer Perceptron, OFDMAutores:Azpilicueta L., Diego Fernando Carrera, Noe M. Yungaicela-Naula, Vargas-Rosales C.Fuentes:scopusSDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning
ArticleAbstract: Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks targetinPalabras claves:Application layer, DDoS attack, deep learning, Machine learning, Slow-rate attacks, Software defined networking, Transport layerAutores:Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C.Fuentes:scopusPerformance Improvement for Multi-User Millimeter-Wave Massive MIMO Systems
ArticleAbstract: In this paper, we study the problem of optimizing the performance of multi-user millimeter-wave (mmWPalabras claves:5G NR, Antenna array, BEAMFORMING, Channel estimation, massive MIMO, millimeter-waveAutores:Diego Fernando Carrera, Galaviz-Aguilar J.A., Vargas-Rosales C., Villalpando-Hernandez R.Fuentes:scopusNovel Multilayer Extreme Learning Machine as a Massive MIMO Receiver for Millimeter Wave Communications
ArticleAbstract: Wireless communication systems working in millimeter-wave (mmWave) frequency bands offer higher bandPalabras claves:5G NR, BEAMFORMING, Machine learning, massive MIMO, Millimeter wave, Multilayer ELMAutores:Azurdia-Meza C.A., Diego Fernando Carrera, Firoozabadi A.D., Marey M., Noe M. Yungaicela-Naula, Vargas-Rosales C., Zabala-Blanco D.Fuentes:scopus