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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:scopusHyper-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:scopusLow 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 for massive MIMO systems based on damped Jacobi Method
Conference ObjectAbstract: Minimum mean square error (MMSE) linear detector is able to achieve the near-optimal bit error ratePalabras claves:Autores:Carlos Daniel Altamirano Carrillo, Celso de Almeida, Minango J.Fuentes:scopusPerformance difference between zero-forcing and maximum likelihood detectors in massive MIMO systems
ArticleAbstract: In massive multiple-input multiple-output (MIMO) systems with hundreds of antennas at the base statiPalabras claves:Autores:Carlos Daniel Altamirano Carrillo, Celso de Almeida, Minango J.Fuentes:scopusProof of Concepts of Corda Blockchain Technology Applied on the Supply Chain Area
Conference ObjectAbstract: Currently, it is necessary a view from origin, movement, and destiny of products or goods in a supplPalabras claves:BLOCKCHAIN, CORDA, CorDapp, DLT, supply chainAutores:Cristian Tasiguano, Minango J., Rivera M.J., Wladimir Paredes-Parada, Zambrano M.Fuentes: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:scopus