Medhat H. M. Elsayed

Orcid: 0000-0002-1106-6078

According to our database1, Medhat H. M. Elsayed authored at least 41 papers between 2014 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering.
IEEE Trans. Cogn. Commun. Netw., April, 2024

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing.
CoRR, 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

Federated Learning with Dual Attention for Robust Modulation Classification under Attacks.
Proceedings of the IEEE International Conference on Communications, 2024

Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing.
Proceedings of the IEEE International Conference on Communications, 2024

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

2023
The Internet of Senses: Building on Semantic Communications and Edge Intelligence.
IEEE Netw., 2023

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

Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet.
CoRR, 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

Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing.
Proceedings of the IEEE Global Communications Conference, 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
Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN.
Proceedings of the IEEE Global Communications Conference, 2022

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

2021
Transfer Reinforcement Learning for 5G New Radio mmWave Networks.
IEEE Trans. Wirel. Commun., 2021

Mobile Communications-Enabled Smart Grid Cosimulator System Design.
IEEE Syst. J., 2021

Carrier Aggregation With Optimized UE Power Consumption in 5G.
IEEE Netw. Lett., 2021

RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

QoS-Aware Joint Component Carrier Selection and Resource Allocation for Carrier Aggregation in 5G.
Proceedings of the ICC 2021, 2021

Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Low-Latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach.
IEEE Trans. Smart Grid, 2020

Transfer Reinforcement Learning for 5G-NR mm-Wave Networks.
CoRR, 2020

Machine Learning-based Inter-Beam Inter-Cell Interference Mitigation in mmWave.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Radio Resource and Beam Management in 5G mmWave Using Clustering and Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2020

2019
AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues.
IEEE Veh. Technol. Mag., 2019

High-Reliability Multi-Agent Q-Learning-Based Scheduling for D2D Microgrid Communications.
IEEE Access, 2019

Reinforcement Learning-Based Joint Power and Resource Allocation for URLLC in 5G.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Integrated Power and Device-to-Device (D2D) Communications Simulator for Future Power Systems.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

AI-Enabled Radio Resource Allocation in 5G for URLLC and eMBB Users.
Proceedings of the 2nd IEEE 5G World Forum, 5GWF 2019, Dresden, Germany, September 30, 2019

2018
Deep Q-Learning for Low-Latency Tactile Applications: Microgrid Communications.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Deep Reinforcement Learning for Reducing Latency in Mission Critical Services.
Proceedings of the IEEE Global Communications Conference, 2018

Learning-Based Resource Allocation for Data-Intensive and Immersive Tactile Applications.
Proceedings of the IEEE 5G World Forum, 2018

2016
Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System.
CoRR, 2016

2015
Distributed interference management using Q-Learning in cognitive femtocell networks: New USRP-based implementation.
Proceedings of the 7th International Conference on New Technologies, Mobility and Security, 2015

2014
DDSAT: Distributed Dynamic Spectrum Access Protocol Implementation Using GNURadio and USRP.
CoRR, 2014


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