Raimundas Gaigalas
According to our database1,
Raimundas Gaigalas
authored at least 23 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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2023
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2025
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On csauthors.net:
Bibliography
2025
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks.
IEEE Commun. Mag., January, 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
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
Proceedings of the IEEE International Conference on Communications, 2024
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
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
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
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