Raimundas Gaigalas

According to our database, Raimundas Gaigalas authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering.

Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

IEEE Trans. Cogn. Commun. Netw., April, 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

CoRR, 2024

2023

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

Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

CoRR, 2023

Design Principles for Generalization and Scalability of AI in Communication Systems.

Pablo Soldati, Euhanna Ghadimi, Burak Demirel, Yu Wang, Raimundas Gaigalas, Mathias Sintorn

CoRR, 2023

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

Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

CoRR, 2023

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

Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

Proceedings of the IEEE International Conference on Communications, 2023

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning.

Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci

Proceedings of the IEEE International Conference on Communications, 2023

Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control.

Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

Proceedings of the IEEE Globecom Workshops 2023, 2023

Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing.

Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

Proceedings of the IEEE Global Communications Conference, 2023

Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN.

Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Yigit Ozcan, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci

Proceedings of the IEEE Global Communications Conference, 2023

Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning.

Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN.

Hao Zhou, Long Kong, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

Proceedings of the IEEE Global Communications Conference, 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

Proceedings of the IEEE Global Communications Conference, 2022