Search Results for author:
Found 5 papers, 0 papers with code
Neural 5G Indoor Localization with IMU Supervision
We propose practical algorithms for IMU double integration and training of the localization system.
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
The transformer model attends to the regions that are relevant for path loss prediction and, therefore, scales efficiently to maps of different size.
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods
Analog beamforming is the predominant approach for millimeter wave (mmWave) communication given its favorable characteristics for limited-resource devices.
Neural RF SLAM for unsupervised positioning and mapping with channel state information
The model is based on an encoder-decoder architecture.
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing
The increasing number of wireless devices operating in unlicensed spectrum motivates the development of intelligent adaptive approaches to spectrum access.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
