US Patent Application 18023530. TECHNIQUE FOR PREDICTING RADIO QUALITY simplified abstract
Contents
TECHNIQUE FOR PREDICTING RADIO QUALITY
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
[[András R�cz of Budapest (HU)]]
Peter Vaderna of Budapest (HU)
TECHNIQUE FOR PREDICTING RADIO QUALITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18023530 titled 'TECHNIQUE FOR PREDICTING RADIO QUALITY
Simplified Explanation
- This patent application describes a technique for predicting the quality of radio signals in a wireless communication network. - The technique relies on assuming the positions of one or more base stations in the area that the network will cover. - A computing unit performs the method implementation of the technique. - The first step is to determine the blocking object features for a selected position in the area. These features indicate the spatial pattern of blocking objects that are present in the fields of view between the selected position and the assumed base station positions. - Based on the determined blocking object features, the computing unit then predicts the radio quality at the selected position. - This prediction is made using a machine learning model that has been trained to map blocking object features and base station positions to corresponding radio qualities at selected positions. - The technique aims to provide a way to estimate radio quality in a wireless communication network before it is deployed, helping to optimize network performance and coverage.
Original Abstract Submitted
A technique for predicting radio quality in a wireless communication network depending on assumed positions of one or more base stations in an area to be covered by the wireless communication network is disclosed. A method implementation of the technique is performed by a computing unit and comprises the steps of determining, for a selected position in the area with respect to assumed positions of the one or more base stations, blocking object features indicative of a spatial pattern of blocking objects present in fields of view between the selected position and the assumed positions of the one or more base stations, and determining, based on the determined blocking object features, a predicted radio quality at the selected position using a machine learning model trained to map blocking object features for selected positions with respect to one or more base station positions to corresponding radio qualities at the selected positions.
