[HTML][HTML] Modeling and identification of nonlinear effects in massive mimo systems using a fifth-order cumulants-based blind approach
M Zidane, R Dinis - Applied Sciences, 2022 - mdpi.com
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
[PDF][PDF] Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach
M Zidane, R Dinis - Appl. Sci, 2022 - run.unl.pt
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach
M Zidane, R Dinis - Applied Sciences, 2022 - search.proquest.com
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
[PDF][PDF] Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach
M Zidane, R Dinis - Appl. Sci, 2022 - novaresearch.unl.pt
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
[PDF][PDF] Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach
M Zidane, R Dinis - Appl. Sci, 2022 - academia.edu
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
[PDF][PDF] Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach
M Zidane, R Dinis - Appl. Sci, 2022 - research.unl.pt
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach.
M Zidane, R Dinis - Applied Sciences (2076-3417), 2022 - search.ebscohost.com
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
Modeling and Identification of Nonlinear Effects in Massive MIMO Systems Using a Fifth-Order Cumulants-Based Blind Approach
M Zidane, R Dinis - agris.fao.org
Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …