activity
20232026
collaborators

6 papers

eess.SP2026

Computation-Limited Signals in Practice: A Throughput Anomaly in Software-Defined O-RAN PHY Layers

Gabriel Alessi Posonski, Saulo Queiroz, João P. Vilela +3

We formalize a performance anomaly in software-based wireless physical-layer (PHY) implementations, a key enabling technology for Open Radio Access Network (O-RAN) systems. For a f…

cs.IT2026

ISAC Privacy: Challenges and Solutions for 6G

Onur Günlü, Stefano Tomasin, João P. Vilela +4

Integrated sensing and communication (ISAC) is a promising feature of future communication networks. While spatial sensing can improve network performance and enable external servi…

eess.SP2025

Fast Computation of the Discrete Fourier Transform Rectangular Index Coefficients

Saulo Queiroz, João P. Vilela, Benjamin Koon Kei Ng +2

In~\cite{sic-magazine-2025}, the authors show that the square index coefficients (SICs) of the -point discrete Fourier transform (DFT) -- that is, the coefficients $X_{k\sqrt{N}…

eess.SP2024

Computational Complexity-Constrained Spectral Efficiency Analysis for 6G Waveforms

Saulo Queiroz, João P. Vilela, Benjamin Koon Kei Ng +2

In this work, we present a tutorial on how to account for the computational time complexity overhead of signal processing in the spectral efficiency (SE) analysis of wireless wavef…

cs.DS2024

Fast Computation of the Discrete Fourier Transform Square Index Coefficients

Saulo Queiroz, João P. Vilela, Edmundo Monteiro

The -point discrete Fourier transform (DFT) is a cornerstone for several signal processing applications. Many of these applications operate in real-time, making the computationa…

cs.IT2023

Computation-Limited Signals: A Channel Capacity Regime Constrained by Computational Complexity

Saulo Queiroz, João P. Vilela, Edmundo Monteiro

In this letter, we introduce the computational-limited (comp-limited) signals, a communication capacity regime in which the signal time computational complexity overhead is the key…