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A Low-Complexity Linear Precoding Algorithm Based on Jacobi Method for Massive MIMO Systems
Conference ObjectAbstract: In massive multiple-input multiple-output (MIMO) systems with the increase of the number of receivedPalabras claves:BER, channel capacity, Jacobi method, massive MIMO, Matrix inversion, Zero-ForcingAutores:Celso de Almeida, Minango J.Fuentes:scopusCo-channel Interference Mitigation Using Convolutional Enconder via Joint Decoding Viterbi Algorithm
Conference ObjectAbstract: This paper proposes and develops a modification in the traditional Viterbi algorithm for a co-channePalabras claves:co-channel interference, convolutional codes, Viterbi algorithmAutores:Jorge A. Caraguay-Procel, Marcelo Zambrano-Vizuete, Minango J.Fuentes:googlescopusBER Evaluation of Linear Detectors in Massive MIMO Systems under Imperfect Channel Estimation Effects
ArticleAbstract: New perspectives for wireless communications have brought new techniques, such as a very large numbePalabras claves:BER, imperfect channel estimation, massive MIMO, Maximal-Ratio Combining, minimum-mean-square error, Zero-ForcingAutores:Carlos Daniel Altamirano Carrillo, Celso de Almeida, Henry Ramiro Carvajal Mora, Minango J.Fuentes:scopusAchieving optimum performance with ZF detector by using a novel precoding approach in spatial multiplexing MIMO systems
ArticleAbstract: Zero forcing (ZF) detector is unable to exploit all of the available diversity order of a spatial muPalabras claves:BER, Condition number, Maximum likelihood, Optimum performance, Spatial multiplexing MIMO systems, Zero-ForcingAutores:Celso de Almeida, Minango J.Fuentes:scopusDeployable Networks. An Alternative for Communications in Critical Environments
Conference ObjectAbstract: One of the main problems that arise when disaster strikes is the little or no communication that usuPalabras claves:Deployable networks, Mesh networks, Tactical networksAutores:Ana María Zambrano, Edgar Maya-Olalla, Marcelo Zambrano-Vizuete, Minango J.Fuentes:googlescopusHyper-power zero forcing detector for massive MIMO systems
ArticleAbstract: In massive multiple-input multiple-output (MIMO) systems when the number of base station antennas isPalabras claves:massive MIMO, Matrix inversion, Newton–Schultz iteration, Zero forcingAutores:Celso de Almeida, Minango J.Fuentes:scopusIdentification of Corn Leaves Diseases Images Using MobileNet Architecture in SmartPhones
Conference ObjectAbstract: Corn is most salient vegetable crop that contributes to the global economy. On the other hand, cornPalabras claves:android, Convolutiona neural network, deep learning, MOBILENETAutores:Ayala K., Cristian Tasiguano, Minango J., Wladimir Paredes-Parada, Zambrano M.Fuentes:scopusSupervised Machine Learning Algorithms for LOS/NLOS Classification in Ultra-Wide-Band Wireless Channel
Conference ObjectAbstract: Ultra-Wide-Band (UWB) channels have attracted attention due to its potential in constructing accuratPalabras claves:Channel classification, LOs, Machine learning, NLOS, Ultra-wide-bandAutores:Marcelo Zambrano-Vizuete, Minango J., Wladimir Paredes-ParadaFuentes:scopusOn the Asymptotic BER of MMSE Detector in Massive MIMO Systems
Conference ObjectAbstract: The minimum-mean-square-error (MMSE) detector is widely used in multiple-input multiple-output (MIMOPalabras claves:BER, massive MIMO, MMSE detectorAutores:Carlos Daniel Altamirano Carrillo, Celso de Almeida, Minango J., Nathaly OrozcoFuentes:scopusOptimum and quasi-optimum relaxation parameters for low-complexity massive MIMO detector based on Richardson method
ArticleAbstract: The low-complexity minimum mean square error detector based on Richardson method for massive MIMO syPalabras claves:Autores:Celso de Almeida, Minango J.Fuentes:scopus