Raimundas Gaigalas

According to our database1, Raimundas Gaigalas authored at least 20 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • 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
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning.
CoRR, 2023

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


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