Abstract: A computer-implemented method to optimize hyper-parameters of discrete digital signal recovery for data processing system that is characterized by a measurement matrix (A), the method comprising, a processing unit (PU) receiving a noisy observation vector (y) of scalar measurements (N) from an unknown signal vector (x) linearly transformed by the measurement matrix (A), where the unknown signal vector (x) is composed of quantities randomly sampled from a finite discrete alphabet set (), recovering the unknown signal vector (x) from the noisy observation vector (y) by optimizing a first hyper-parameter (?) and a second hyper parameter (?) by performing a standard supervised mini-batch training, whereby a training data set () is split (L) into mini-batches () and every mini-batch () is composed of many pairs of signal vectors (x) and noisy observation vectors (y), initializing a first function ({circumflex over (X)}IDLS-Net) computing a second function (?i,j(t)) computing a third function (b(t)), fourth functio

Abstract: User Equipment-to-User Equipment relaying resource management is performed between communication subscribers, which can each communicate with at least one base station via at least one communication interface for communication. The following steps are carried out on the part of the base station for establishing communication: determining local and thematic information for determining communication subscribers; determining a group of communication subscribers based on the local and thematic information, wherein a local area is defined for local restriction of the communication subscribers, and wherein at least one of a technological aspect and an interest-related aspect is used for thematic restriction on the part of the base station. Granting permission to communicate data from a group of communication subscribers to the at least one base station is established via further communication subscribers by using discovery mechanisms between them.

Abstract: 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.

Abstract: Method for Modeling Visible Clusters and Non-stationarities in XL-MIMO systems configuring a plurality of transmit antennas to each represent an in-phase spatial constellation symbol within an in-phase spatial constellation, and a quadrature spatial constellation symbol within a quadrature spatial constellation, mapping source data to the in-phase spatial constellation symbols and the quadrature spatial constellation symbols represented by the plurality of transmit antennas, wherein the Matérn-cluster point process, which models randomly located clusters within a given area defines the area, where antenna arrays are embedded.

Abstract: A computer-implemented decoding method of configuring a plurality of transmit antennas to each represent an in-phase spatial constellation symbol within an in-phase spatial constellation and a quadrature spatial constellation symbol within a quadrature spatial constellation, and mapping source data to the in-phase spatial constellation symbols and the quadrature spatial constellation symbols represented by the plurality of transmit antennas, wherein the notion of applying sparse detection, compressed sensing algorithms to decode SM signals is proceeded.

Abstract: A computer-implemented decoding method configures a plurality of transmit antennas to each represent an in-phase spatial constellation symbol within an in-phase spatial constellation, and a quadrature spatial constellation symbol within a quadrature spatial constellation, and maps source data to the in-phase spatial constellation symbols and the quadrature spatial constellation symbols represented by the plurality of transmit antennas, wherein the method constructs the set which has equal multiplicities of the transmit antenna activation, which ensures maximum possible transmit diversity.

Abstract: Configuring a plurality of transmit antennas to each represent an in-phase spatial constellation symbol within an in-phase spatial constellation, and a quadrature spatial constellation symbol within a quadrature spatial constellation, mapping source data to the in-phase spatial constellation symbols and the quadrature spatial constellation symbols represented by the plurality of transmit antennas, wherein the method is applying an optimal and scalable quadrature spatial modulation scheme (OS-QSM) resulting in a maximum possible coding gain in the resultant quadrature spatial modulation.

Abstract: Joint user activity detection and channel information estimation in extra-large MIMO (XL-MIMO) systems with non-stationarities proceeds by: receiving signals and initialization of a channel estimation; performing soft interference cancel check, whereby, if the soft interference cancel check result is negative, the calculation of residual mean and variance is performed; whereby, if the soft interference cancel check result is positive, the extrinsic mean and variance is calculated directly; whereby, if the soft interference cancel check result is negative, the calculation of residual mean and variance is used, whereby the calculation of tentative estimation includes activity factors calculation; if reaching the maximum is not fulfilled, soft interference cancel check is performed; whereby, if reaching the maximum is fulfilled, the proceeding ends.

Abstract: 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.

Abstract: Method for Relay Selection based on Multi-Interface Load Metric between communication subscribers, which can each communicate with at least one base station via at least one communication interface for communication, in which the following steps are carried out on the part of the base station for establishing communication, determining local and thematic information for determining communication subscribers, determining a group of communication subscribers based on the local and thematic information, wherein a local area is defined for local restriction of the communication subscribers and wherein at least one of a technological aspect and an interest-related aspect is used for thematic restriction on the part of the base station is characterized by granting permission to communicate data from a group of communication subscribers to the at least one base station is established via further communication subscribers by using discovery mechanisms between them.

Abstract: A method for Service Relaying in a Relay User Equipment (UE) and such Relay UE is provided. The method includes the following steps. A connection between a Relay UE and a UE is established. A Service Catalogue of a Remote Service Provider is received. The Remote Service Provider is arranged for providing services to a UE. The Service Catalogue comprises information about these services. Meta-data is generated which comprises additional information about the services for the UE. Information about the Service Catalogue and about the meta-data is provided to the UE. The UE selects one of the services based on the provided information and the Relay UE relays the selected service from the Remote Service Provider to the UE.

Abstract: 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 ? is done at the receiver, estimation noise power is done by a noise power estimator, forwarding the detected signal and hardware impairments parameter ? 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.

Abstract: Disclosed is a method for sending a vehicle-to-x-message including an information part and a safety part, wherein the safety part comprises information that can be used to evaluate quality and reliability of the information contained in the information part regarding its usability and qualification for safety-related driving functions and tasks. Also disclosed is a corresponding method for receiving and a corresponding vehicle-to-x-communications module.

Abstract: Transceiver method between at least one receiver and at least one transmitter in an overloaded communication channel that is characterized by a channel matrix, wherein within a first step a transmitter sends out a reference signals to a receiver, and the receiver estimates the channel Matrix, within a second step the receiver optimizes RX beamforming matrix and TX beamforming matrix jointly, within a third step the TX beamforming matrix is sent to the transmitter out-of-band by using a control channel, which is reliable.

Abstract: One or more routes for a mobile user between a first location and a destination are generated and provided by composing, based on data representing roads or paths between the first location and the destination, at least one route candidate having at least one route segment. To each of the at least one route segments of the at least one route candidate one or more first values representing an estimated or predicted Quality of Experience (QoE) is assigned for one or more services or applications, executed or provided by one or more devices installed at or located with the mobile user, whose function is dependent on data that is wirelessly received in real-time or near real-time. The one or more route candidates, along with the one or more assigned first values, are processed, in, or provided to, the navigation system of the mobile user, for selection or execution.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A computer-implemented reconstruction method of discrete digital signals in noisy overloaded wireless communication systems with CSI Errors that is characterized by a channel matrix of complex coefficients, the method including receiving the signal from channel by a signal detector, estimation of the CSI error parameter ? is done at the receiver, estimation noise power is done by a noise power estimator, forwarding the detected signal and the CSI error parameter ? 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.

Abstract: 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 ? is done at the receiver, estimation noise power is done by a noise power estimator, forwarding the detected signal and hardware impairments parameter ? 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.