CQI Prediction

Are you looking for a robust loss function for forecasting signal quality indicators in 5G networks? Check our paper “Residual-based Adaptive Huber Loss (RAHL) - Design of an Improved Huber Loss for CQI Prediction in 5G Networks”, just accepted for publication in the Brazilian Symposium on Computer Networks and Distributed Systems.

In this paper, we propose a novel loss function, named Residual-based Adaptive Huber Loss (RAHL), which adds a learnable residual to the delta hyperparameter from Huber Loss, enabling a model to adapt based on the distribution of errors in the data.