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2020 – today
- 2024
[j3]Han Zhang
, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. IEEE Trans. Cogn. Commun. Netw. 10(2): 689-705 (2024)- [c13]Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. ICC Workshops 2024: 1-6 - [c12]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. ICC 2024: 4269-4274 - [c11]Han Zhang, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Federated Learning with Dual Attention for Robust Modulation Classification under Attacks. ICC 2024: 5238-5243 - [i9]Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. CoRR abs/2403.10808 (2024) - [i8]Pedro Enrique Iturria-Rivera, Raimundas Gaigalas, Medhat H. M. Elsayed, Majid Bavand, Yigit Ozcan, Melike Erol-Kantarci:
Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection. CoRR abs/2405.15872 (2024) - [i7]Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning. CoRR abs/2406.06059 (2024) - [i6]Shavbo Salehi, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Self-Play Ensemble Q-learning enabled Resource Allocation for Network Slicing. CoRR abs/2408.10376 (2024) - [i5]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. CoRR abs/2409.20391 (2024) - 2023
- [c10]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. GLOBECOM (Workshops) 2023: 485-490 - [c9]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. GLOBECOM 2023: 6364-6370 - [c8]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Yigit Ozcan, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. GLOBECOM 2023: 6652-6657 - [c7]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. ICC 2023: 100-105 - [i4]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. CoRR abs/2301.07818 (2023) - [i3]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering. CoRR abs/2304.11282 (2023) - [i2]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. CoRR abs/2307.02754 (2023) - [i1]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control. CoRR abs/2311.15894 (2023) - 2021
- [j2]Yigit Özcan, Catherine Rosenberg:
Uplink Scheduling in Multi-Cell OFDMA Networks: A Comprehensive Study. IEEE Trans. Mob. Comput. 20(10): 3081-3098 (2021) - [c6]Yigit Ozcan, Catherine Rosenberg:
Performance Evaluation of Full Duplex Communications in 5G Networks: The Impact of Interference and Traffic Asymmetry. ITC 2021: 1-9 - 2020
- [j1]Yigit Özcan, Jad Oueis, Catherine Rosenberg, Razvan Stanica, Fabrice Valois:
Robust Planning and Operation of Multi-Cell Homogeneous and Heterogeneous Networks. IEEE Trans. Netw. Serv. Manag. 17(3): 1805-1821 (2020)
2010 – 2019
- 2019
- [b1]Yigit Ozcan:
Resource Management in Next Generation Cellular Networks. University of Waterloo, Ontario, Canada, 2019 - [c5]Yigit Özcan, Catherine Rosenberg, Fabrice Guillemin:
Uplink Scheduling In Multi-Cell OFDMA Networks With and Without Coordination. WCNC 2019: 1-8 - [c4]Yigit Ozcan, Catherine Rosenberg:
Revisiting Downlink Scheduling in a Multi-Cell OFDMA Network: From Full Base Station Coordination to Practical Schemes. Wireless Days 2019: 1-8 - 2018
- [c3]Yigit Ozcan, Catherine Rosenberg:
Efficient loss-aware uplink scheduling. WCNC 2018: 1-6 - 2017
- [c2]Yigit Ozcan, Fabrice Guillemin, Patrice Houze, Catherine Rosenberg:
Fast and smooth data delivery using MPTCP by avoiding redundant retransmissions. ICC 2017: 1-7 - [c1]Yigit Ozcan, Catherine Rosenberg, Fabrice Guillemin:
A benchmark for D2D in cellular networks: The importance of information. PIMRC 2017: 1-7
Coauthor Index
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last updated on 2024-10-22 21:13 CEST by the dblp team
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