Yigit Ozcan

Orcid: 0000-0001-9258-4602

According to our database1, Yigit Ozcan authored at least 25 papers between 2017 and 2025.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach.
IEEE Commun. Mag., January, 2025

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

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation.
CoRR, 2024

Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks.
CoRR, 2024

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing.
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.
Proceedings of the 35th IEEE International Symposium on Personal, 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
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning.
CoRR, 2023

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments.
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

2021
Uplink Scheduling in Multi-Cell OFDMA Networks: A Comprehensive Study.
IEEE Trans. Mob. Comput., 2021

Performance Evaluation of Full Duplex Communications in 5G Networks: The Impact of Interference and Traffic Asymmetry.
Proceedings of the 33rd International Teletraffic Congress ITC 2021, Avignon, France, August 31, 2021

2020
Robust Planning and Operation of Multi-Cell Homogeneous and Heterogeneous Networks.
IEEE Trans. Netw. Serv. Manag., 2020

2019
Resource Management in Next Generation Cellular Networks.
PhD thesis, 2019

Revisiting Downlink Scheduling in a Multi-Cell OFDMA Network: From Full Base Station Coordination to Practical Schemes.
Proceedings of the 2019 Wireless Days, 2019

Uplink Scheduling In Multi-Cell OFDMA Networks With and Without Coordination.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

2018
Efficient loss-aware uplink scheduling.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

2017
A benchmark for D2D in cellular networks: The importance of information.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Fast and smooth data delivery using MPTCP by avoiding redundant retransmissions.
Proceedings of the IEEE International Conference on Communications, 2017


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