345 citations
- Carleton UniversityCA4 papers
- Memorial University of NewfoundlandCA2 papers
- Arcetri Astrophysical ObservatoryIT1 paper
- Brera Astronomical ObservatoryIT1 paper
- California Institute of TechnologyUS1 paper
- CEA CadaracheFR1 paper
- CEA GrenobleFR1 paper
- CEA Paris-SaclayFR1 paper
- Château GombertFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Durham UniversityGB1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
4 papers · 2 filters
Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning
Zijian Long, Haopeng Wang, Haiwei Dong +1
The social metaverse is a growing digital ecosystem that blends virtual and physical worlds. It allows users to interact socially, work, shop, and enjoy entertainment. However, pri…
Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
Ryan G. Dempsey, Jonathan Ethier, Halim Yanikomeroglu
Path loss modeling is a widely used technique for estimating point-to-point losses along a communications link from transmitter (Tx) to receiver (Rx). Accurate path loss prediction…
Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
Jonathan Ethier, Mathieu Chateauvert, Ryan G. Dempsey +1
Wireless communications rely on path loss modeling, which is most effective when it includes the physical details of the propagation environment. Acquiring this data has historical…
Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
Ryan G. Dempsey, Jonathan Ethier, Halim Yanikomeroglu
Path loss prediction is a beneficial tool for efficient use of the radio frequency spectrum. Building on prior research on high-resolution map-based path loss models, this paper st…