Transformer-ESN learns 8D embeddings from O-RAN KPIs that reduce MSE for RSRQ by up to 41.9% and spectral efficiency by 29.9% versus full high-dimensional data in limited-sample regimes.
ColO- RAN: Developing machine learning-based xApps for open RAN closed- loop control on programmable experimental platforms,
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Learning Low-Dimensional Representation for O-RAN Testing via Transformer-ESN
Transformer-ESN learns 8D embeddings from O-RAN KPIs that reduce MSE for RSRQ by up to 41.9% and spectral efficiency by 29.9% versus full high-dimensional data in limited-sample regimes.