Pedro Enrique Iturria-Rivera

Orcid: 0000-0002-8757-2639

According to our database1, Pedro Enrique Iturria-Rivera authored at least 24 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach.
CoRR, 2024

Self-Play Ensemble Q-learning enabled Resource Allocation for Network Slicing.
CoRR, 2024

LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning.
CoRR, 2024

Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection.
CoRR, 2024

Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
Meta-Bandit: Spatial Reuse Adaptation via Meta-Learning in Distributed Wi-Fi 802.11ax.
IEEE Netw. Lett., December, 2023

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning.
CoRR, 2023

Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Uplink Scheduling in Federated Learning: An Importance-Aware Approach via Graph Representation Learning.
Proceedings of the IEEE International Conference on Communications, 2023

RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation.
Proceedings of the IEEE International Conference on Communications, 2023

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments.
Proceedings of the IEEE International Conference on Communications, 2023

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN.
Proceedings of the IEEE Global Communications Conference, 2023

Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
Deep Reinforcement Learning-Based Joint User Association and CU-DU Placement in O-RAN.
IEEE Trans. Netw. Serv. Manag., December, 2022

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN).
Sensors, 2022

Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi.
CoRR, 2022

Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity.
Proceedings of the IEEE Global Communications Conference, 2022

Competitive Multi-Agent Load Balancing with Adaptive Policies in Wireless Networks.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021
QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020
Multi Agent Team Learning in Disaggregated Virtualized Open Radio Access Networks (O-RAN).
CoRR, 2020

Efficient strategy to optimize key devices positions in large-scale RF mesh networks.
Ad Hoc Networks, 2020

2019
Minkowski Distance Order Effect on the Optimization of Key Devices Positions in Large-Scale RF Mesh Networks.
Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, 2019

Optimization of Key Devices Positions in Large-Scale RF Mesh Networks.
Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, 2019


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