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Found 4 papers, 0 papers with code
Continuous Transfer Learning for UAV Communication-aware Trajectory Design
Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions based on real-time feedback.
Continuous Multi-Link Operation: A Contention-Free Mechanism for the Unlicensed Spectrum
This paper proposes a novel mechanism to enforce contention-free channel access in the unlicensed spectrum, as opposed to the traditional contention-based approach.
AI/ML-based Load Prediction in IEEE 802.11 Enterprise Networks
Enterprise Wi-Fi networks can greatly benefit from Artificial Intelligence and Machine Learning (AI/ML) thanks to their well-developed management and operation capabilities.
Deep Reinforcement Learning for Dynamic Band Switch in Cellular-Connected UAV
Results reveal that the smart approach is able in a high threshold regime to reduce the number of radio failures and band switches while reaching the desired destination.
