Abstract
Two neural networks with two features (SNR and mutual information) are
applied to link adaptation that is targeted for meeting the WLAN
standard. The usefulness of neural-network-based link adaptation is
validated for the WLAN and also the performance (throughput and latency)
is analysed to obtain some practical gain of link adaptation based on
neural networks over the traditional approach.