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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:scopusComparative study of channel estimators for massive MIMO 5G NR systems
ArticleAbstract: In this work, a comparative analysis is performed to study the bit error rate and error vector magniPalabras claves:Autores:Azpilicueta L., Diego Fernando Carrera, Galaviz-Aguilar J.A., Vargas-Rosales C.Fuentes:scopusA Method for Identifying Multiple RFID Tags in High Electromagnetic Interference Environments
ArticleAbstract: Radio frequency identification (RFID) plays an important role in warehouse management. UnfortunatelyPalabras claves:Binary codes, Computers, Electromagnetic interference, Protocols, RFID tagsAutores:Jonnatan Fernando Avilés-González, Smith N.R., Vargas-Rosales C.Fuentes:scopusA flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
ArticleAbstract: Distributed Denial-of-Service (DDoS) attacks are difficult to mitigate with existing defense tools.Palabras claves:deep learning, Deep reinforcement learning, Intrusion detection system, mitigation, Slow rate DDoS, Software defined networkingAutores:Diego Fernando Carrera, Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C.Fuentes:scopusDeterministic propagation modeling for intelligent vehicle communication in smart cities
ArticleAbstract: The authors would like to acknowledge the support and collaboration of the Telecommunications and NePalabras claves:Autores:Aguirre E., Astrain J.J., Azpilicueta L., Celaya-Echarri M., Falcone F., Fausto Granda, Lopez-Iturri P., Medrano P., Vargas-Rosales C., Villandangos J.Fuentes:googlescopusExtreme Learning Machine-Based Receiver for Multi-User Massive MIMO Systems
ArticleAbstract: An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is introduced.Palabras claves:5G and beyond, elm, massive MIMO, OFDMAutores:Azurdia-Meza C.A., Diego Fernando Carrera, Vargas-Rosales C., Zabala-Blanco D.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: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:scopusTowards security automation in Software Defined Networks
ReviewAbstract: Software-Defined Networking (SDN) is a modern paradigm that provides a platform for implementing relPalabras claves:deep learning, Machine learning, Network function virtualization, reinforcement learning, Security automation, software defined networksAutores:Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C., Zareei M.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:scopus