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Hyper-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:scopusA 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: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: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:googlescopusLow Detection Symbol Algorithm for MIMO Systems with Big Number of Antennas
Conference ObjectAbstract: Low detection algorithm on symbol-flipping (SF) is presented, which obtain the Maximum Likelihood pePalabras claves:BER, local search, Maximum likelihood, Spatial multiplexing MIMO systems, Symbol-flippingAutores:Cristian Tasiguano, Minango J., Wladimir Paredes-Parada, Zambrano M.Fuentes:scopusLow complexity zero forcing detector based on Newton-schultz iterative algorithm for massive MIMO systems
ArticleAbstract: Linear detectors, such as zero forcing (ZF) and minimum mean-square error (MMSE), can achieve near-oPalabras claves:massive MIMO, Matrix inversion, Newton-Schultz iteration, Zero forcingAutores:Celso de Almeida, Minango J.Fuentes:scopusLow-complexity MMSE detector based on the first-order Neumann series expansion for massive MIMO systems
Conference ObjectAbstract: In massive multiple-input multiple-output (MIMO) systems, with the increase of the number of receivePalabras claves:BER, massive MIMO, Matrix inversion, Minimum mean-square error, Neumann seriesAutores:Celso de Almeida, Minango J.Fuentes:scopus