DDSAT: Distributed Dynamic Spectrum Access Protocol Implementation Using GNURadio and USRP. - Medhat H. M. Elsayed; Amr A. El-Sherif; Amr Mohamed 001 (CoRR, 2014)

Distributed interference management using Q-Learning in cognitive femtocell networks: New USRP-based implementation. - Medhat H. M. Elsayed; Amr Mohamed 001 (NTMS, 2015)

Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System. - Alaa Awad; Medhat H. M. Elsayed; Amr Mohamed 001 (CoRR, 2016)

Learning-Based Resource Allocation for Data-Intensive and Immersive Tactile Applications. - Medhat H. M. Elsayed; Melike Erol-Kantarci (5G World Forum, 2018)

Deep Reinforcement Learning for Reducing Latency in Mission Critical Services. - Medhat H. M. Elsayed; Melike Erol-Kantarci (GLOBECOM, 2018)

Deep Q-Learning for Low-Latency Tactile Applications: Microgrid Communications. - Medhat H. M. Elsayed; Melike Erol-Kantarci (SmartGridComm, 2018)

AI-Enabled Radio Resource Allocation in 5G for URLLC and eMBB Users. - Medhat H. M. Elsayed; Melike Erol-Kantarci (5G World Forum, 2019)

Integrated Power and Device-to-Device (D2D) Communications Simulator for Future Power Systems. - Kevin Shimotakahara; Medhat H. M. Elsayed; Karin Hinzer; Melike Erol-Kantarci (GlobalSIP, 2019)

Reinforcement Learning-Based Joint Power and Resource Allocation for URLLC in 5G. - Medhat H. M. Elsayed; Melike Erol-Kantarci (GLOBECOM, 2019)

High-Reliability Multi-Agent Q-Learning-Based Scheduling for D2D Microgrid Communications. - Kevin Shimotakahara; Medhat H. M. Elsayed; Karin Hinzer; Melike Erol-Kantarci (IEEE Access, 2019)

AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues. - Medhat H. M. Elsayed; Melike Erol-Kantarci (IEEE Veh. Technol. Mag., 2019)

Radio Resource and Beam Management in 5G mmWave Using Clustering and Deep Reinforcement Learning. - Medhat H. M. Elsayed; Melike Erol-Kantarci (GLOBECOM, 2020)

Machine Learning-based Inter-Beam Inter-Cell Interference Mitigation in mmWave. - Medhat H. M. Elsayed; Kevin Shimotakahara; Melike Erol-Kantarci (ICC, 2020)

Transfer Reinforcement Learning for 5G-NR mm-Wave Networks. - Medhat H. M. Elsayed; Melike Erol-Kantarci; Halim Yanikomeroglu (CoRR, 2020)

Low-Latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach. - Medhat H. M. Elsayed; Melike Erol-Kantarci; Burak Kantarci; Lei Wu 004; Jie Li 013 (IEEE Trans. Smart Grid, 2020)

Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G. - Medhat H. M. Elsayed; Roghayeh Joda; Hatem Abou-Zeid; Ramy Atawia; Akram Bin Sediq; Gary Boudreau; Melike Erol-Kantarci (GLOBECOM, 2021)

QoS-Aware Joint Component Carrier Selection and Resource Allocation for Carrier Aggregation in 5G. - Roghayeh Joda; Medhat H. M. Elsayed; Hatem Abou-Zeid; Ramy Atawia; Akram Bin Sediq; Gary Boudreau; Melike Erol-Kantarci (ICC, 2021)

RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. - Hao Zhou 013; Medhat H. M. Elsayed; Melike Erol-Kantarci (PIMRC, 2021)

Carrier Aggregation With Optimized UE Power Consumption in 5G. - Roghayeh Joda; Medhat H. M. Elsayed; Hatem Abou-Zeid; Ramy Atawia; Akram Bin Sediq; Gary Boudreau; Melike Erol-Kantarci (IEEE Netw. Lett., 2021)

Mobile Communications-Enabled Smart Grid Cosimulator System Design. - Kevin Shimotakahara; Medhat H. M. Elsayed; Melike Erol-Kantarci; Karin Hinzer (IEEE Syst. J., 2021)

Transfer Reinforcement Learning for 5G New Radio mmWave Networks. - Medhat H. M. Elsayed; Melike Erol-Kantarci; Halim Yanikomeroglu (IEEE Trans. Wirel. Commun., 2021)

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)

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN. - Hao Zhou 013; Long Kong; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (GLOBECOM, 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)

Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. - Shavbo Salehi; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (GLOBECOM, 2023)

Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. - Han Zhang 055; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (GLOBECOM (Workshops), 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)

Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet. - Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (CoRR, 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)

The Internet of Senses: Building on Semantic Communications and Edge Intelligence. - Roghayeh Joda; Medhat H. M. Elsayed; Hatem Abou-Zeid; Ramy Atawia; Akram Bin Sediq; Gary Boudreau; Melike Erol-Kantarci; Lajos Hanzo (IEEE Netw., 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)

Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. - Shavbo Salehi; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (ICC, 2024)

Federated Learning with Dual Attention for Robust Modulation Classification under Attacks. - Han Zhang 055; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (ICC, 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)

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. - Shavbo Salehi; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 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)

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. - Han Zhang 055; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (IEEE Trans. Cogn. Commun. Netw., 2024)

Energy-Efficient Carrier Aggregation in 5G Using Constrained Multi-Agent MDP. - Medhat H. M. Elsayed; Roghayeh Joda; Fahime Khoramnejad; David Chan; Akram Bin Sediq; Gary Boudreau; Melike Erol-Kantarci (IEEE Trans. Green Commun. Netw., 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)

Cooperative Hierarchical Deep Reinforcement Learning-Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN. - Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (IEEE Trans. Cogn. Commun. Netw., 2025)

Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks. - Han Zhang 055; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2025)

Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks. - Han Zhang 055; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (IEEE Wirel. Commun., 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)