Optimization of Key Devices Positions in Large-Scale RF Mesh Networks. - Ahmad Mohamad Mezher; Nisha Rajendran; Pedro Enrique Iturria-Rivera; Carlos Lester Dueñas Santos; Julian Meng; Eduardo Castillo Guerra (PE-WASUN, 2019)

Minkowski Distance Order Effect on the Optimization of Key Devices Positions in Large-Scale RF Mesh Networks. - Ahmad Mohamad Mezher; Pedro Enrique Iturria-Rivera; Carlos Lester Dueñas Santos; Julián L. Cárdenas-Barrera; Julian Meng; Eduardo Castillo Guerra (PE-WASUN, 2019)

Efficient strategy to optimize key devices positions in large-scale RF mesh networks. - Ahmad Mohamad Mezher; Pedro Enrique Iturria-Rivera; Julián L. Cárdenas-Barrera; Julian Meng; Eduardo Castillo Guerra (Ad Hoc Networks, 2020)

Multi Agent Team Learning in Disaggregated Virtualized Open Radio Access Networks (O-RAN). - Pedro Enrique Iturria-Rivera; Shahram Mollahasani; Melike Erol-Kantarci (CoRR, 2020)

QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning. - Pedro Enrique Iturria-Rivera; Melike Erol-Kantarci (MASS, 2021)

Competitive Multi-Agent Load Balancing with Adaptive Policies in Wireless Networks. - Pedro Enrique Iturria-Rivera; Melike Erol-Kantarci (CCNC, 2022)

Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity. - Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (GLOBECOM, 2022)

Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi. - Pedro Enrique Iturria-Rivera; Marcel Chenier; Bernard Herscovici; Burak Kantarci; Melike Erol-Kantarci (CoRR, 2022)

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN). - Pedro Enrique Iturria-Rivera; Han Zhang 055; Hao Zhou 013; Shahram Mollahasani; Melike Erol-Kantarci (Sensors, 2022)

Deep Reinforcement Learning-Based Joint User Association and CU-DU Placement in O-RAN. - Roghayeh Joda; Turgay Pamuklu; Pedro Enrique Iturria-Rivera; Melike Erol-Kantarci (IEEE Trans. Netw. Serv. Manag., 2022)

Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (CCNC, 2023)

Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. - Ycaro Dantas; Pedro Enrique Iturria-Rivera; Hao Zhou 013; Yigit Ozcan; Majid Bavand; Medhat H. M. Elsayed; Raimundas Gaigalas; Melike Erol-Kantarci (GLOBECOM, 2023)

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. - Ycaro Dantas; Pedro Enrique Iturria-Rivera; Hao Zhou 013; Majid Bavand; Medhat H. M. Elsayed; Raimundas Gaigalas; Melike Erol-Kantarci (ICC, 2023)

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (ICC, 2023)

RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation. - Pedro Enrique Iturria-Rivera; Marcel Chenier; Bernard Herscovici; Burak Kantarci; Melike Erol-Kantarci (ICC, 2023)

Uplink Scheduling in Federated Learning: An Importance-Aware Approach via Graph Representation Learning. - Marco Skocaj; Pedro Enrique Iturria-Rivera; Roberto Verdone; Melike Erol-Kantarci (ICC Workshops, 2023)

Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning. - Pedro Enrique Iturria-Rivera; Marcel Chenier; Bernard Herscovici; Burak Kantarci; Melike Erol-Kantarci (PIMRC, 2023)

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2023)

Meta-Bandit: Spatial Reuse Adaptation via Meta-Learning in Distributed Wi-Fi 802.11ax. - Pedro Enrique Iturria-Rivera; Marcel Chenier; Bernard Herscovici; Burak Kantarci; Melike Erol-Kantarci (IEEE Netw. Lett., 2023)

Self-Play Ensemble Q-learning enabled Resource Allocation for Network Slicing. - Shavbo Salehi; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (GLOBECOM, 2024)

Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. - Md Arafat Habib; Pedro Enrique Iturria-Rivera; Yigit Ozcan; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Melike Erol-Kantarci (ICC Workshops, 2024)

Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection. - Pedro Enrique Iturria-Rivera; Raimundas Gaigalas; Medhat H. M. Elsayed; Majid Bavand; Yigit Ozcan; Melike Erol-Kantarci (PIMRC, 2024)

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation. - Pedro Enrique Iturria-Rivera; Raimundas Gaigalas; Medhat H. M. Elsayed; Majid Bavand; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2024)

LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning. - Md Arafat Habib; Pedro Enrique Iturria-Rivera; Yigit Ozcan; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Melike Erol-Kantarci (WCNC, 2025)

Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Yigit Ozcan; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Melike Erol-Kantarci (IEEE Commun. Mag., 2025)

Prioritized Value-Decomposition Network for Explainable AI-Enabled Network Slicing. - Shavbo Salehi; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2025)

Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-driven RAN Management in 6G. - Md Arafat Habib; Pedro Enrique Iturria-Rivera; Yigit Ozcan; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Melike Erol-Kantarci (CoRR, 2025)

Generative AI for Intent-Driven Network Management in 6G: A Case Study on Hierarchical Learning Approach. - Md Arafat Habib; Medhat H. M. Elsayed; Yigit Ozcan; Pedro Enrique Iturria-Rivera; Majid Bavand; Melike Erol-Kantarci (CoRR, 2025)