Determining location information about a drone
AssigneeTelefonaktiebolaget LM Ericsson (publ)
InventorsUrsula Challita, Henrik Rydén, Sakib Bin Redhwan
Life of this patent
Estimating the term…
Abstract
A computer implemented method in a communications network for determining location information about an actual location of a drone comprises obtaining a reported location of the drone at a first time point and obtaining a measurement of radio conditions between the drone and a node in the telecommunications network, at the first time point. The method then comprises predicting radio conditions at one or more locations related to the reported location of the drone, and determining the location information about the actual location of the drone based on the measured radio conditions and the predicted radio conditions.
Claims17
A computer implemented method in a communications network for determining location information about an actual location of a drone, the method comprising:
- obtaining a reported location of the drone at a first time point;
- obtaining a plurality of measurements of radio conditions between the drone and a serving node in the communications network, at the first time point;
- predicting radio conditions at one or more locations related to the reported location of the drone;
- and
- determining the location information about the actual location of the drone based on the measured radio conditions and the predicted radio conditions, wherein if the location information indicates that the drone has deviated from the reported location of the drone, the method further comprises sending a message to the drone, the message comprising a request that the drone returns to ground-level;
- and
- determining a false location information reporting associated with the drone by the serving node during a handover, comprising:
- determining a first similarity metric between the predicted radio conditions and the measured radio conditions at the serving node;
- determining a second similarity metric between second predicted radio conditions and second measured radio conditions with respect to the drone at a neighboring cell associated with a neighboring node;
- comparing the first similarity metric with the second similarity metric;
- and
- determining a deviation between the first similarity metric and the second similarity metric.
A node in a communications network for determining location information about an actual location of a drone, wherein the node comprises a memory comprising instruction data representing a set of instructions;
- and
- a processor configured to communicate with the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to:
- obtain a reported location of the drone at a first time point;
- obtain a plurality of measurements of radio conditions between the drone and a serving node in the communications network, at the first time point;
- predict radio conditions at one or more locations related to the reported location of the drone;
- and
- determine the location information about the actual location of the drone based on the measured radio conditions and the predicted radio conditions, wherein if the location information indicates that the drone has deviated from the reported location of the drone, the method further comprises sending a message to the drone, the message comprising a request that the drone returns to ground-level;
- and
- determine a false location information reporting associated with the drone by the serving node during a handover, wherein the processor configured to determine the false location information reporting associated with the drone by the serving node during the handover is further configured to:
- determine a first similarity metric between the predicted radio conditions and the measured radio conditions at the serving node;
- determine a second similarity metric between second predicted radio conditions and second measured radio conditions with respect to the drone at a neighboring cell associated with a neighboring node;
- compare the first similarity metric with the second similarity metric;
- and
- determine a deviation between the first similarity metric and the second similarity metric.
Dependencies are inferred from the claim text.