activity
20122024
most citedMassive MIMO and NOMA Bits-per-Antenna Efficiency under Power Allocation Policies

8 citations · 27 across the 17 of their papers we have counts for

collaborators

17 papers

cs.NI2024

Manifold-Based Optimizations for RIS-Aided Massive MIMO Systems

Wilson de Souza Junior, David William Marques Guerra, José Carlos Marinello +2

Manifold optimization (MO) is a powerful mathematical framework that can be applied to optimize functions over complex geometric structures, which is particularly useful in advance…

cs.IT2024

Energy-Efficient Active Element Selection in RIS-aided Massive MIMO Systems

Wilson Souza, José Carlos Marinello, Taufik Abrão

This chapter delves into the critical aspects of optimizing energy efficiency (EE) in active reconfigurable intelligent surface (RIS)-assisted massive MIMO (M-MIMO) wireless commun…

eess.SP2024

Assessing the Potential of Space-Time-Coding Metasurfaces for Sensing and Localization

Herman L. dos Santos, Martin Voigt Vejling, Taufik Abrão +1

Intelligent metasurfaces are one of the favorite technologies for integrating sixth-generation (6G) networks, especially the reconfigurable intelligent surface (RIS) that has been…

eess.SP2023

EMF Exposure Mitigation in RIS-Assisted Multi-Beam Communications

Herman L. dos Santos, Cristian J. Vaca-Rubio, Radosław Kotaba +3

This paper proposes a method for reducing {third-party} exposure to electromagnetic fields (EMF) by exploiting the capability of a reconfigurable intelligent surfaces' (RIS) to man…

cs.NI2023

Raptor-IRSA Grant-free Random Access Protocol for Smart Grids Applications

Angel Esteban Labrador Rivas, Taufik Abrão

This paper deals with the reliability of random access (RA) protocols for massive wireless smart grid communication (m-SGC). We propose and analyze an improved grant-free RA (GF-RA…

cs.IT20234 cited

Machine Learning-based Methods for Joint {Detection-Channel Estimation} in OFDM Systems

Wilson de Souza Junior, Taufik Abrao

In this work, two machine learning (ML)-based structures for joint detection-channel estimation in OFDM systems are proposed and extensively characterized. Both ML architectures, n…