Predicting a radio spectrum usage

Example embodiments describe a computer implemented method for predicting by a neural network a radio spectrum usage in an environment comprising interferers (110-111, 210-211) and a plurality of wireless nodes (100-105, 200-206), the nodes (100-105, 200-206) operating via a slotted medium access control, MAC, protocol within a radio spectrum, the method comprising the following steps obtaining per slot the radio spectrum usage by sensing the radio spectrum, labelling the slots as usable when a respective radio spectrum usage is lower than a predefined noise threshold or when a node successfully transmitted a packet through it, unusable when it is not usable and suitable to receive a packet, and calculating a loss function as a cross entropy loss with the usable and unusable slots over a total number of usable and unusable slots, and training the neural network by minimizing the loss function.

Octrooi-publicatienummer: WO2021043680

Jaar aanvraag: 2021

Jaar toekenning: 2022

Jaar van publicatie: 2021

Status: Aangevraagd

Technologiedomeinen: Telecommunicatie

Gevalideerd voor IOF-sleutel: Ja

Toegewezen aan: Associatie Universiteit & Hogescholen Antwerpen