Scaling of Wireless Foundation Models via Representation Diversity and Multi-Branch Architectures
eess.SP, cs.AI
Submitted: 2026-10-03
Updated: 2026-10-03
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Large Wireless Model (LWM): A Foundation Model for Wireless Channels
- LatentWave: JEPA Pretraining for Wireless Foundation Models
- Scaling Laws for Neural Language Models
- WirelessJEPA: A Multi-Antenna Foundation Model using Spatio-temporal Wireless Latent Predictions
- CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting
Related papers
- What If They Took the Shot? A Hierarchical Bayesian Framework for Counterfactual Expected Goals
- Runtime Assurance Under Measurement Attack: Necessary and Sufficient Observability Conditions for Learned Control in Radio Access Networks
- Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
- SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
- Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
- Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet