Braun-Dullaeus Pannen Emmerling Patent- & Rechtsanwaltspartnerschaft mbB

Techniken zur Ausmessung von zumindest zwei verschiedenen Funksignalen in einer Umgebung umfassend die folgenden Schritte:● Bereitstellung eines Funksignalstärke-Test-Geräts, wobei ein Nutzer das Funksignalstärke-Test-Gerät zu verschiedenen Positionen der Umgebung bringt, wobei das Funksignalstärke-Test-Gerät zumindest ein Erfassungsmittel für Funksignale aufweist;● Aufzeichnen der jeweiligen Funksignalstärke von zumindest zwei verschiedenen Funksignalen an den jeweiligen verschiedenen Positionen der Umgebung als Messwerte;● Übergabe der Messwerte an einen Positionierungs-Algorithmus, wobei der Positionierungs-Algorithmus die Messwerte vergleicht und anhand eines ersten festlegbaren Kriteriums einen ersten Score für die jeweiligen Positionen basierend auf den Messwerten berechnet, wobei der erste Score einen Wert für die Güte der beiden verschiedenen Funksignale an der jeweiligen Positionen repräsentiert.

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Techniques to ensure a trusted communication for a user equipment or a further network in a communication system, the communication system comprises a network operator that provides a communication network with at least one communication path, wherein the communication path can be used by the UE or by the further network to communicate with the communication network, the method comprises the following steps: • Obtaining authentication parameters of the network operator by the UE or by the further network via the communication path; • Analyzing the authentication parameters with respect to a trustworthiness level of the network operator and determining the level of trustworthiness of the network operator; • Accessing the network of the network operator based on the determined level of trustworthiness.

The disclosure relates to a communication system (100, 200), comprising: an User Equipment, UE (110), comprising a subscriber identity module, SIM (111), storing an identity of an UE owner (105), UE ID, in particular an International Mobile Subscriber Identity, IMSI, and an authentication key, Ki, a first communication network (101), in particular a cellular network, comprising a first authentication server (103) configured to authenticate (112) the UE owner (105) on the first communication network (101) based on the UE ID and the authentication key, Ki; a second communication network (102), in particular a cellular or mobile network, comprising a second authentication server (104); and a network interface between the first authentication server (103) and the second authentication server (104), wherein the first authentication server (103) acts as master and is configured to propagate (113) an authentication status (106) of the UE owner (105) in the first communication network (101) to the second authentication server (104), wherein the second authentication server (104) is configured to grant the UE owner (105) rights (114) in the second communication network (102) depending on the authentication status (106) of the UE owner (105) in the first communication network (101).

Zusammenfassung wird geladen …

A method and system to generate a trained machine-learning-model M that models a specific system comprising the following steps:• Providing a functional raw-model f(ai, x) of the specific system, wherein the raw-model comprises adjustable parameters ai and input variables x;• Providing measurement values x_m of the specific system as the input variables, wherein the measurement values x_m correspond to conditions and/or correspond to a behavior of the specific system;• Using the measurement values x_m of the specific system by a fitting algorithm to fit the adjustable parameters ai of the raw-model f(a_i, x_m ) to the specific system as to obtain the optimized parameters a₁ of a fitted-model f(a₁, x_m) of the specific system;• Using the fitted-model f(a₁, x_n) of the specific system to generate simulated values Sn by using different sets of input variables x_n that characterize the conditions and/or characterize the behavior of the specific system;Using the simulated values S_n to generate the trained machine-learning-model M as to model the specific system.

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Techniques for providing and/or using services by a user equipment, the services being provided at least indirectly by a network operator, the method comprising the steps of: • Providing a communication link between a network of a network operator and a UE; • Transmitting a first communication address of a service controller of the network operator to the UE, wherein the service controller manages an access to services that can be used by the UE; • Requesting to access a particular service from the UE to the service controller by the UE sending the request to the provided first communication address of the service controller; • Transmitting a message comprising a second communication address of the service from the service controller to the UE; • Starting the service by the UE requesting the service by means of the provided second communication address of the service.