Marco Sousa

21 papers B 3Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Adaptive Framework for Collective Anomaly Detection in Key Performance Indicators From Mobile Networks.
IEEE Access
Madalena Cilínio, Thaina Saraiva, Marco Sousa, Pedro Vieira, António Rodrigues
2025 J jnl
Integrating Machine Learning and Observational Causal Inference for Enhanced Spectral and Energy Efficiency in Wireless Networks.
IEEE Access
Luis A. Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2025 J jnl
Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators.
IEEE Access
Luis A. Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2025 — conf
Performance Analysis of Mobile Wireless Networks Through Crowdsourcing Data Clustering.
MeditCom
Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2024 — conf
A Machine Learning Driven Methodology for Alarm Prediction Towards Self-Healing in Wireless Networks.
WTS
Luis A. Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2024 J jnl
On the Use of Spatial Graphs for Performance Degradation Root-Cause Analysis Toward Self-Healing Mobile Networks.
IEEE Access
Luis A. Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2024 J jnl
Telco-DPR: A Hybrid Dataset for Evaluating Retrieval Models of 3GPP Technical Specifications.
CoRR
Thaina Saraiva, Marco Sousa, Pedro Vieira, António Rodrigues
2023 — conf
Enhancing Robustness for Automated Mobile Network Optimization by Uncovering Causal Relationships.
ISWCS
Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2023 J jnl
Towards the use of Unsupervised Causal Learning in Wireless Networks Operation.
J. King Saud Univ. Comput. Inf. Sci.
Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2022 J jnl
An Ubiquitous 2.6 GHz Radio Propagation Model for Wireless Networks Using Self-Supervised Learning From Satellite Images.
IEEE Access
Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2021 J jnl
Analysis and Optimization of 5G Coverage Predictions Using a Beamforming Antenna Model and Real Drive Test Measurements.
IEEE Access
Marco Sousa, André Alves, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2021 — conf
Evaluating 5G Coverage in 3D Scenarios under Configurable Antenna Beam Patterns.
WPMC
Francisco Jesus, Marco Sousa, Filipe Freitas, Pedro Vieira, António Rodrigues, Maria Paula Queluz
2020 — conf
A New 3D Beamforming Antenna Model for 5G Propagation Modeling based on Real Data.
WPMC
André Alves, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2020 B conf
A No-Reference Video Streaming QoE Estimator based on Physical Layer 4G Radio Measurements.
WCNC
D. Moura, Marco Sousa, Pedro Vieira, António Rodrigues, Maria Paula Queluz
2020 — conf
Automated Joint Access and Backhaul Planning for 5G Millimeter-Wave Small Cell Networks.
WPMC
B. Marques, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2019 B conf
An Unsupervised Learning Approach for Performance and Configuration Optimization of 4G Networks.
WCNC
Rui Miguel Maia Santos, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2019 — conf
Optimizing the 4G Mobility Strategy after Diagnosing Network Sub-Performance Areas.
WPMC
G. Jales, Marco Sousa, P. Vieiral
2018 B conf
A no-reference user centric QoE model for voice and web browsing based on 3G/4G radio measurements.
WCNC
V. Pedras, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2017 — conf
Antenna tilt optimization using a novel QoE model based on 3G radio measurements.
WPMC
V. Pedras, Marco Sousa, Pedro Vieira, Maria Paula Queluz, António Rodrigues
2016 — conf
Self-Diagnosing Low Coverage and High Interference in 3G/4G Radio Access Networks based on Automatic RF Measurement Extraction.
WINSYS
Marco Sousa, A. Martins, Pedro Vieira
2016 — conf
Tracking Down High Interference and Low Coverage in 3G/4G Radio Networks Using Automatic RF Measurement Extraction.
ICETE (Selected Papers)
Marco Sousa, André Martins, Pedro Vieira