Continental Automotive Technologies Gmbh

Continental Automotive Gmbh

David Gonzalez Gonzalez

Osvaldo Gonsa

Andreas Andrae

Giuseppe Thadeu Freitas De Abreu

Hiroki Iimori

Razvan-Andrei Stoica

Marc Sebastian Patric Stöttinger

This patent application is directed to a method for detecting intrusions and anomalies, an intrusion and anomaly detecting edge computing unit, and a system for detecting intrusions and anomalies.

Edge-based decentralized intrusion and anomaly detection

A computer-implemented reconstruction method of discrete digital signals in noisy overloaded wireless communication systems that is characterized by a channel matrix of complex coefficients, the method including, receiving the signal from channel by a signal detector, measuring the noise power by a noise power estimator at the receiver, forwarding the detected signal and noise power estimation to a decoder that estimates the transmitted symbol, wherein the estimation of the decoder produces a symbol that could probably have been transmitted it is forwarded to a de-mapper, which outputs the bit estimates corresponding to the estimated transmit signal and the corresponding estimated symbol to a microprocessor for further processing.

Reconstruction method of discrete digital signals in noisy overloaded wireless communication systems

A computer-implemented method of estimating transmit symbol vectors transmitted in an overloaded communication channel includes receiving a signal represented by a received signal vector, the received signal vector corresponding to a superposition of signals representing transmitted symbols selected from a constellation of symbols and transmitted from one or more transmitters. Continuous first and second functions in a search space in a convex domain are defined. The first function and the second function are combined into a third function, and a fractional programming algorithm is applied to the third function, targeted to finding an input vector that minimizes the third function. A mapping rule translates the found input vector into an estimated transmit symbol vector, and the estimated transmit symbol vector is output to a decoder for decoding into an estimated transmit symbol from the constellation.

Method of estimating transmit symbol vectors in an overloaded communication channel

A computer-implemented reconstruction method of discrete digital signal recovery in noisy overloaded wireless communication systems in the presence of hardware impairments that is characterized by a channel matrix of complex coefficients, the method including, receiving the signal from channel by a signal detector, estimation of hardware impairments parameter η is done at the receiver, estimation noise power is done by a noise power estimator, forwarding the detected signal and hardware impairments parameter η and noise power estimation to a decoder that estimates the transmitted symbol, wherein the estimation of the decoder produces a symbol that could probably have been transmitted it is forwarded to a de-mapper, which outputs the bit estimates corresponding to the estimated transmit signal and the corresponding estimated symbol to a microprocessor for further processing.

Method of discrete digital signal recovery in noisy overloaded wireless communication systems in the presence of hardware impairments

A method of initiating a transfer of an active first-type slave process, executed in a first processing entity of an edge cloud computing layer, to a second processing entity of the edge cloud computing layer, includes, at a first mobile entity, receiving a first heat map relating to the first-type master-slave process, ranking, based on a cost function, possible process sharing connections, between the first mobile entity and one or more second processing entities, for the current location of the first mobile entity and/or a location of the first mobile entity in the near future, determining, based on the ranking, one or more second processing entities as potential target processing entities to transfer the first-type slave process to, and transmitting a processing entity transfer request to a control process executed in the edge cloud computing layer. The request includes an identification of the active first-type slave process and indicates at least one of the second processing entities determined, based on the ranking, as potential target to transfer the active first-type slave process to.

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Egelsbach, Germany

David Gonzalez Gonzalez