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scopus(5)
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: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: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:scopus