US 12,408,090 B2
Method for predicting a modification of the linkage conditions of a terminal to a cellular network
Simon Piriou, Plaisance-du-touch (FR); and Grégory Vial, Auragne (FR)
Assigned to Continental Automotive Technologies GmbH, Hannover (DE)
Appl. No. 17/603,853
Filed by Continental Automotive GmbH, Hannover (DE)
PCT Filed Apr. 2, 2020, PCT No. PCT/EP2020/059363
§ 371(c)(1), (2) Date Oct. 14, 2021,
PCT Pub. No. WO2020/212150, PCT Pub. Date Oct. 22, 2020.
Claims priority of application No. 1903995 (FR), filed on Apr. 15, 2019.
Prior Publication US 2022/0201584 A1, Jun. 23, 2022
Int. Cl. H04W 36/08 (2009.01); H04W 36/32 (2009.01); H04W 64/00 (2009.01)
CPC H04W 36/08 (2013.01) [H04W 36/322 (2023.05); H04W 36/324 (2023.05); H04W 64/006 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A method for predicting, for a vehicle that is connected to an access point to a current cellular network and is traveling on a road network, at least one characteristic associated with a modification of the linkage conditions of the vehicle to said cellular network, the method being characterized in that it comprises the following steps:
training a first prediction model associated with the current access point from crowdsourced data collected from at least one training vehicle, comprising at least, for locating the at least one training vehicle connected to a current cellular access point:
a first location, a speed, and a direction of the at least one training vehicle, and
a second location of the at least one training vehicle, collected when a disconnection from the current access point is detected,
predicting a third location at which the vehicle will be disconnected from the current access point while traveling on said road network by applying the prediction model to:
a location, a speed, and a direction of the vehicle;
training a second prediction model from crowdsourced data collected from the at least one training vehicle, the data comprising at least, for locating the at least one training vehicle connected to a current cellular access point:
a location, a speed, and a direction of the at least one training vehicle, and
an identifier of a second cellular access point obtained after detecting disconnection of the at least one training vehicle from the current cellular access point,
predicting an identifier of a next cellular access point by applying the second prediction model to:
a location, a speed, and a direction of the vehicle, wherein the vehicle locations are locations, relative to the current cellular access point, that are each specified in polar coordinates in the form of a respective angle and a respective distance in relation to the current cellular access point.