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Found 6 papers, 0 papers with code
Federated Learning with Dual Attention for Robust Modulation Classification under Attacks
To this end, we leverage attention mechanisms as a defense against attacks in FL and propose a robust FL algorithm by integrating the attention mechanisms into the global model aggregation step.
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet
In this work, we jointly consider sleep and transmission power control for reconfigurable intelligent surface (RIS)-aided energy-efficient heterogeneous networks (Hetnets).
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning
Compared to the ESB and fixed transmission power strategy, the proposed approach achieves more than twice the average EE in the scenarios under test and is closer to the maximum theoretical EE.
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity
Reinforcement learning (RL) has shown its huge potential in wireless scenarios where parameter learning is required given the dynamic nature of such context.
Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN
Reconfigurable intelligent surface (RIS) is emerging as a promising technology to boost the energy efficiency (EE) of 5G beyond and 6G networks.
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
On the other hand, AI/ML facilitates frugal network resource management by making use of the enormous amount of data generated in IoS edge nodes and devices, as well as by optimizing the IoS performance via intelligent agents.
