2018
A Robust Machine Learning Method for Cell-Load Approximation in Wireless Networks
ICASSP 2018accepted
We propose a learning algorithm for cell-load approximation in wireless networks. The proposed algorithm is robust in the sense that it is designed to cope with the uncertainty arising from a small number of training samples. This scenario is highly relevant in wireless networks where training has t…