activity
20192026
most citedRandomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation

11 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Joint Subarray Selection, User Scheduling, and Pilot Assignment for XL-MIMO

Gabriel Avanzi Ubiali, José Carlos Marinello Filho, Taufik Abrão

Extra-large scale MIMO (XL-MIMO) is a key technology for meeting sixth-generation (6G) requirements for high-rate connectivity and uniform quality of service (QoS); however, its de…

cs.IT2021★ 1 cited

Exploring the Non-Overlapping Visibility Regions in XL-MIMO Random Access Protocol

José Carlos Marinello Filho, Glauber Brante, Richard Demo Souza +1

The recent extra-large scale massive multiple-input multiple-output (XL-MIMO) systems are seen as a promising technology for providing very high data rates in increased user-densit…

cs.IT2019

Massive MIMO for Internet of Things (IoT) Connectivity

Alexandru-Sabin Bana, Elisabeth de Carvalho, Beatriz Soret +4

Massive MIMO is considered to be one of the key technologies in the emerging 5G systems, but also a concept applicable to other wireless systems. Exploiting the large number of deg…

eess.SP2019★ 11 cited

Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation

Victor Croisfelt Rodrigues, Jose Carlos Marinello Filho, Taufik Abrao

To exploit the benefits of massive multiple-input multiple-output (M-MIMO) technology in scenarios where base stations (BSs) need to be cheap and equipped with simple hardware, the…

eess.SP2019

Exponential Spatial Correlation with Large-Scale Fading Variations in Massive MIMO Channel Estimation

Victor Croisfelt Rodrigues, Jose Carlos Marinello, Taufik Abrao

To provide the vast exploitation of the large number of antennas on massive multiple-input-multiple-output (M-MIMO), it is crucial to know as accurately as possible the channel sta…