Abstract: A method for modelling a shape of data in a GAN comprising a generator agent (G) for generating synthetic data (110, 220) and a discriminator agent (D) for distinguishing between the generated synthetic data (120, 220) and real original data (110) that follow an arbitrary, continuous or discrete, distribution defined by a n-dimensional vector of input variables xi. The method, before generating output synthetic data (220), computes an Inverse Smirnov transformation fSi?1 for each of the n input variables xi and attaches an activation function (200) to the generator agent (G), wherein the activation function (200) is a n-dimensional vector faG formed by the computed Inverse Smirnov transformations, faG=(fS1?1, fS2?1, . . . , fSn?1). The GAN implementing the method generates the output synthetic data (220) using the activation function (200) which outputs synthetic data (220) with a distribution (420, 420?) whose shape is the same as the arbitraty distribution of the original data (110).

Abstract: A method and system for optimizing the performance of spatial multiplexing techniques in MU-MIMO wireless systems comprising subsectors where the presence of significant correlation between antenna elements can impair the performance of MU-MIMO techniques. The proposed solution ensures optimum selection of a specific combination of transmit antenna elements and receive antenna elements that maximizes MU-MIMO performance.

Abstract: Proposed are a computer-implemented method for accelerating convergence in the training of generative adversarial networks (GAN) to generate synthetic network traffic, and computer programs of same. The method allows the GAN network to ensure that the training converges in a limited time period less than the standard training period of existing GAN networks. The method allows results to be obtained in different use scenarios related to the generation and processing of network traffic data according to objectives such as the creations of arbitrary amounts of simulated data (a) with characteristics (statistics) similar to real datasets obtained from real network traffic, but (b) without including any part of any real dataset; diversity in the type of data to be created: IP traffic, network attacks, etc.; and the detection of changes in the network traffic patterns analysed and generated.

Abstract: A method and system for optimizing the performance of spatial multiplexing techniques in MU-MIMO wireless systems comprising subsectors where the presence of significant correlation between antenna elements can impair the performance of MU-MIMO techniques.

Abstract: A method for modelling a shape of data in a GAN comprising a generator agent (G) for generating synthetic data (110, 220) and a discriminator agent (D) for distinguishing between the generated synthetic data (120, 220) and real original data (110) that follow an arbitrary, continuous or discrete, distribution defined by a n-dimensional vector of input variables xi. The method, before generating output synthetic data (220), computes an Inverse Smirnov transformation fSi?1 for each of the n input variables xi and attaches an activation function (200) to the generator agent (G), wherein the activation function (200) is a n-dimensional vector faG formed by the computed Inverse Smirnov transformations, faG=(fS1?1, fS2?1, . . . , fSn?1). The GAN implementing the method generates the output synthetic data (220) using the activation function (200) which outputs synthetic data (220) with a distribution (420, 420?) whose shape is the same as the arbitraty distribution of the original data (110).

Abstract: A method and device for optimal coexistence of a first cellular Time-Division Duplex, TDD, system and a second TDD system operating in the same frequency band. The proposed solution is capable of minimizing interferences without modifying the (RF and SW) characteristics of the second system, while at the same time achieving flexibility in UL:DL traffic ratio.

Abstract: A system and method for training and validating ML algorithms in real networks, including: generating synthetic traffic and receiving it along with real traffic; aggregating the received traffic into network flows by using metadata and transforming them to generate a first dataset readable by the ML algorithm, comprising features defined by the metadata; labelling the traffic and selecting a subset of the features from the labelled dataset used in an iterative training to generate a trained model; filtering out a part of real traffic to obtain a second labelled dataset; and selecting a subset of features from the second labelled dataset used for validating the trained model by comparing predicted results for the trained model and the labels; repeating the steps with a different subset of features to generate another trained model until results are positive in terms of precision or accuracy.

Abstract: It is provided a method for transferring and managing data packages between a first portable secure element, SE, server implemented in a portable device (100, 200) and a second portable SE server implemented in an embedded UICC, eUICC (120, 240), comprised in a user's device (110, 230) which is local to the portable device (100, 200), the first and second portable SE severs comprising Subscription Manager, SM, functionalities, the method comprises the first and the second portable SE servers establishing off-line communication using local data transport protocols in a secured mode, the first or the second portable SE server implementing first transfer functionalities (140) for performing secure transfer of the data packages and the first or the second portable SE server implementing second transfer functionalities (140) for performing end-to-end securing of the data packages after the secure transfer of the data packages.

Abstract: Method for managing eSIM profiles in a user's device (110, 230) comprising an embedded UICC, eUICC, the method performed by a portable secure element, SE, server implemented in a portable device (100, 200) local to the user's device (110, 230), the portable SE sever comprising Subscription Manager, SM, functionalities, the method comprises the portable SE server establishing off-line communication with the user's device (100) using local data transport protocols in a secured mode, the portable SE server implementing first SM functionalities (140) for performing secure downloading of the eSIM profiles in the user's device (110) and the portable SE server implementing second SM functionalities (160) for performing end-to-end securing of the eSIM profiles after installation in the eUICC of the user's device (110, 230).

Abstract: Method and system to dynamically associate spatial layers to beams in a FWA network operating in the millimeter-wave frequency range. A base station and a CPE are willing to wirelessly transmit and receive data through a wireless channel of the FWA network, the base station having beamforming capabilities henceforth generating multiple wireless beams. The base station performs all baseband wireless functions related for creating, keeping and managing the connections between the base station and the CPE at baseband level, wherein information is handled in the form of up to M spatial layer signals, and with no built-in capabilities for creation, detection or management of the beams. The base station also performs all necessary RF functions at millimeter-wave frequencies, including beamforming and conversion from complex baseband signals to RF signals and vice versa, and also couples the RF signals to the wireless channel.

Abstract: A system and method for validating proof of transit of network traffic through network nodes (N), the node (N) comprising a set of input interfaces (20) receiving incoming packets, a first module (A) to identify a matching route within a routing table (23) and storing means (22) to provide next modules (B, C, D) with two private keys if the packet is matched and/or the packet metadata includes OPoT information. The second module (B) decrypts the OPoT metadata using the first private key associated to the link of the node from which the incoming packets are received. The node (N) has SSS metadata to be processed by a third module (C) for the correct generation of cumulative validation parameters. When the SSS process is finished by the third module (C), the fourth module (D) re-encrypts the OPoT metadata using the second private key before packet forwarding to the subsequent node in the path through output interfaces (21).

Abstract: A method and transmitter for generating broadcast beam patterns in massive MIMO systems, the transmitter comprising a rectangular antenna array with a number N1 of antenna elements in the horizontal direction and a number N2 of antenna elements in the vertical direction. The MIMO transmitter generates broadcast beam patterns with determined beam widths in horizontal and vertical dimensions to cover a sector area of a cell by the rectangular antenna array radiating N1×N2 radiofrequency signals at a carrier frequency, the sector area being where a user equipment requests from the MIMO transmitter access to the cell. The beam widths in horizontal and vertical directions are determined by using an optimum set of complex excitation coefficients calculated from a discretized continuous-space array factor ?(?,?), which is based on a discretization over the elevation angle ? and the azimuth angle ? of the antenna elements.

Abstract: A method to provide robustness against noise and interference in wireless communications, a transmitter and computer program products, involving sending to a receiver (13), through a wireless channel (12), information using a constant-envelope waveform with complex baseband representation of the form s[n]=Ac exp{j?[n]}.

Abstract: Method and system to dynamically associate spatial layers to beams in a FWA network operating in the millimeter-wave frequency range. A base station (101) and a CPE (102) are willing to wirelessly transmit and receive data through a wireless channel of said FWA network, said base station (101) having beamforming capabilities henceforth generating multiple wireless beams (103). The base station (101) performs all baseband wireless functions related for creating, keeping and managing the connections between the base station (101) and the CPE (102) at baseband level, wherein information is handled in the form of up to M spatial layer signals, and with no built-in capabilities for creation, detection or management of the beams (103). The base station (101) also performs all necessary RF functions at millimeter-wave frequencies, including beamforming and conversion from complex baseband signals to RF signals and vice versa, and also couples the RF signals to said wireless channel.

Abstract: A system and method for optimizing event prediction in data systems, wherein at least one source (100) comprises: a data collector periodically collecting (101) real data values (300) to generate a stream of data modeled as a time series; a generator (110) of prediction models (M1, M2, M3, . . . , Mx) to which the collected values from the data collector are input; a first forecast module (120) receiving (102) one of the generated prediction models (M1, M2, M3, . . . , Mx) for generating a predicted value (310) and computing a committed error (320) by comparing the predicted value (310) with the real data value (300); and wherein the source (100) sends (105) the committed error (320) within the time series to the destination (200) only if the committed error (320) exceeds a threshold and wherein the destination (200) comprises: a second forecast module (210) receiving (204) the same prediction model (M1, M2, M3, . . .

Abstract: It is provided a method, device and system for providing authentication of a user of an electronic device (for example, when using a certain service or accessing a certain asset or premises). The user's authentication is based on the measurement of a biometric/biotechnological feature of the individual (preferably on the user's pulse) and on the detection of the user motion (and eventually location) status change.

Abstract: The method comprising, in a network based on a chain of individual Service Functions, SFs, that are composed to implement Network Services, NSs: assigning, at an ingress node of a network architecture, to at least one data packet received by said ingress node from the network, a unique cryptographic tag; processing said assigned unique cryptographic tag using a cryptographic function specific to each Service Function, SF; and verifying, at a given point of the network architecture, said processed unique cryptographic tag by applying a cryptographic verification function composed by the inverse functions of the cryptographic functions associated to the SFs traversed by the at least one data packet.

Abstract: A system and method for validating proof of transit of network traffic through network nodes (N), the node (N) comprising a set of input interfaces (20) receiving incoming packets, a first module (A) to identify a matching route within a routing table (23) and storing means (22) to provide next modules (B, C, D) with two private keys if the packet is matched and/or the packet metadata includes OPoT information. The second module (B) decrypts the OPoT metadata using the first private key associated to the link of the node from which the incoming packets are received. The node (N) has SSS metadata to be processed by a third module (C) for the correct generation of cumulative validation parameters. When the SSS process is finished by the third module (C), the fourth module (D) re-encrypts the OPoT metadata using the second private key before packet forwarding to the subsequent node in the path through output interfaces (21).

Abstract: A method for detecting applications of mobile user terminals, comprising: parsing files of an app to obtain domains of requests and splitting every domain into words to generate an app signature, weighting the words to obtain their frequency, splitting the mobile traffic into traffic blocks and each traffic block into words, generating a traffic vector for each block by including the repetition or frequency of each word in the block, comparing the generated traffic vectors with the generated signature by applying a similarity method to obtain the number of times that the signature is detected in the traffic vectors of a mobile terminal, estimating a probability of a user having the app installed in the mobile terminal, applying a threshold on the probability to discard wrongly detected applications.

Abstract: A system, method and device to overcome the effects of mobility in OFDM wireless cellular networks. Individual beams are isolated and Doppler impairments are compensated so the constituent beams can reach the users in DL with ideally no Doppler impairments. Similarly in UL the signals corresponding to the different spatial beams are detected and their Doppler impairments compensated.