Dariel Pereira-Ruisánchez

Orcid: 0000-0003-0278-1499

Affiliations:
  • University of A Coruña, Department of Computer Engineering, CITIC Research Center, Spain


According to our database1, Dariel Pereira-Ruisánchez authored at least 15 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Pixel-Based CF-mMIMO: Addressing the AP Cooperation Cluster Formation in Fronthaul-Limited O-RAN Architectures.
IEEE Trans. Commun., 2026

2025
Low-Complexity K-Beams Clustering for Intra-Cell Pilot Reuse in Massive MIMO Communications.
IEEE Trans. Commun., June, 2025

A GNN-Based Approach to AP Cooperation Cluster Formation in Cell-Free Massive MIMO.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

C-Footprints: A Statistic-Based Clustering for Pilot Allocation in Cell-Free Massive MIMO.
Proceedings of the IEEE International Conference on Communications, 2025

2024
DRL-Based Sequential Scheduling for IRS-Assisted MIMO Communications.
IEEE Trans. Veh. Technol., June, 2024

2023
Deep Contextual Bandit and Reinforcement Learning for IRS-Assisted MU-MIMO Systems.
IEEE Trans. Veh. Technol., July, 2023

A Robust DCB Approach to IRS-Assisted Vehicular Communications with ICSI.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022
From MFN to SFN: Performance Prediction Through Machine Learning.
IEEE Trans. Broadcast., 2022

Joint Optimization of IRS-assisted MIMO Communications through a Deep Contextual Bandit Approach.
Proceedings of V XoveTIC Conference, 2022

Joint Optimization of IRS-assisted MU-MIMO Communication Systems through a DRL-based Twin Delayed DDPG Approach.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

Deep Reinforcement Learning for Dynamic Radio Access Selection over Future Wireless Networks.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

2021
Prediction of Signal Quality and SFN Interference Metrics Using Machine Learning Models.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

Three-stages concatenated Machine Learning model for SFN prediction.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

2019
Bit-Level Capacity analysis on Non-Uniform Constellations.
Proceedings of the 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2019

2018
Emulation of a Dynamic Broadcasting Network with Adaptive Radiated Power in a Real Scenario.
Proceedings of the 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2018


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