Abstract: A method of beam failure recovery managed by a transmitter of a communication system, includes: detecting a first occurrence of a beam failure between the transmitter and a receiver; based on the detection of the first occurrence of the beam failure, identifying at least one first reconfigurable intelligent surface (RIS) for transmitting at least one reference signal; transmitting the at least one reference signal to the at least one first RIS; receiving, from the at least one first RIS, a receiver feedback for the at least one of reference signal; generating an RIS candidate beam list based on the receiver feedback; and transmitting, to the receiver via the at least one first RIS, a radio resource control (RRC) message including the RIS candidate beam list as a beam failure recovery configuration.

Abstract: The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). In an embodiment of the disclosure, the method performed by a base station is provided. The method comprises transmitting to an UE a RS for at least one of a direct BS candidate beam and an RIS candidate beam and receiving from the UE a measurement report comprising a RSRP. In case that the RSRP meets the RSRP criteria, the method comprises selecting a first mode configuration for the RIS among a plurality of mode configurations for the RIS based on a link between the BS and the UE. The method comprises switching from the RIS candidate beam to direct BS candidate beam and scattering the multiple beams from the RIS in different directions.

Abstract: Embodiments herein disclose a method for controlling a non-linear effect of a power amplifier by an apparatus. The method includes acquiring an input data of the power amplifier of the apparatus and an output data of the power amplifier. Further, the method includes determining an inverse function using a neural network. The inverse function maps normalized output data of the PA to the input data of the PA, where the neural network comprises at least one sub-network for at least one memory tap from a plurality of memory taps in the neural network. Further, the method includes modifying the input data based on the determined inverse function value by dynamically changing a usage of the at least one memory tap from the plurality of memory taps. Further, the method includes compensating the non-linear effect in the output data of the power amplifier.

Abstract: A method of beam failure recovery managed by a transmitter of a communication system, includes: detecting a first occurrence of a beam failure between the transmitter and a receiver; based on the detection of the first occurrence of the beam failure, identifying at least one first reconfigurable intelligent surface (RIS) for transmitting at least one reference signal; transmitting the at least one reference signal to the at least one first RIS; receiving, from the at least one first RIS, a receiver feedback for the at least one of reference signal; generating an RIS candidate beam list based on the receiver feedback; and transmitting, to the receiver via the at least one first RIS, a radio resource control (RRC) message including the RIS candidate beam list as a beam failure recovery configuration.

Abstract: A system, method, and a computer program product for a data integration service are provided. The integration data service receives a custom dataset. The integration data service creates a dataset definition, a schema definition and an entity definition associated with the custom dataset. The dataset definition includes a dataset name. The schema definition defines access to a subset of attributes in the custom dataset. The entity definition defines an at least one entity and links the subset of attributes and the at least one entity. The dataset definition, the schema definition, and the entity definition are linked using the dataset name. The data from the custom dataset is retrieved by the integration data service by applying the dataset definition, the schema definition, and the entity definition to the custom dataset. The retrieved data is further integrated with the data from the platform.

Abstract: A technique for providing real time feedback from a machine learning system is provided that includes a method and system for interactively training machine learning models. In particular, by separating processing and analysis using static and dynamic models that are trained differently, the disclosed technique enables interactive training and prediction of machine learning models to increase the speed of generating new predictions based on real time feedback. In some cases, a dynamic model is applied to the output of a static model to generate an analysis, a correction of the analysis is received, and the correction is used to retrain the dynamic model. An updated analysis is generated based on reapplying the dynamic model to the output of the static model without having to retrain the static model.

Abstract: Techniques are disclosed to provide an interactive visual representation of semantically related extracted data. In various embodiments, a plurality of data entities are extracted from a file, each entity comprising a key-value pair. One or more sets of related entities, each set comprising an occurrence of a defined repeating type of entity set, are identified among the plurality of data entities. Data associating the one or more sets of related entities with the file and the defined repeating type of entity set are stored.

Abstract: A technique for providing real time feedback from a machine learning system is provided that includes a method and system for interactively training machine learning models. In particular, by separating processing and analysis using static and dynamic models that are trained differently, the disclosed technique enables interactive training and prediction of machine learning models to increase the speed of generating new predictions based on real time feedback. In some cases, a dynamic model is applied to the output of a static model to generate an analysis, a correction of the analysis is received, and the correction is used to retrain the dynamic model. An updated analysis is generated based on reapplying the dynamic model to the output of the static model without having to retrain the static model.

Abstract: Techniques are disclosed to provide an interactive visual representation of semantically related extracted data. In various embodiments, a plurality of data entities are extracted from a file, each entity comprising a key-value pair. One or more sets of related entities, each set comprising an occurrence of a defined repeating type of entity set, are identified among the plurality of data entities. Data associating the one or more sets of related entities with the file and the defined repeating type of entity set are stored.

Abstract: Presented herein is a pre-5th-Generation (5G) or 5G communication system that supports higher data rates beyond 4th-Generation (4G) communication systems. In particular, methods and systems for performing cell search in a millimeter wave (mmWave) based communication network are presented. A method disclosed herein includes selecting a subset of receive (Rx) beams from a plurality of Rx beams and scheduling a scan order for the selected subset of Rx beams, upon receiving a plurality of signals from a Base Station. The method also includes performing a cell search using the selected subset of Rx beams individually in the determined scan order. The method further includes combining two or more of the selected Rx beams, upon failing the cell search using the selected subset of Rx beams individually. The method further includes performing the cell search using the combined Rx beams.

Abstract: A method for performing a channel state information (CSI) prediction by a user equipment (UE) is provided. The method includes receiving a plurality of reference signals from a base station, obtaining a channel quality information (CQI) estimation for an interval based on the received plurality of reference signals, wherein obtaining the CQI estimation includes obtaining at least one of mean mutual information per bit (MMIB) or effective exponential signal to noise ratio mapping (EESM), predicting the CSI based on the CQI estimation, and reporting the predicted CSI to the base station.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may receive, from a particular user, a first request to create a project. In response to the first request, the program may generate the project. The program may receive, from the particular user, a second request to add a plurality of users to the project. The program may generate a plurality of data objects, each data object in the plurality of data objects associated with the particular user and a user in the plurality of users. For each data object in the plurality of data objects, the program may receive, from the particular user, a set of access control configurations for a set of sections in the data object. The program may provide a graphical user interface (GUI) comprising the plurality of data objects.

Abstract: A method of beam failure recovery managed by a transmitter of a communication system, includes: detecting a first occurrence of a beam failure between the transmitter and a receiver; based on the detection of the first occurrence of the beam failure, identifying at least one first reconfigurable intelligent surface (RIS) for transmitting at least one reference signal; transmitting the at least one reference signal to the at least one first RIS; receiving, from the at least one first RIS, a receiver feedback for the at least one of reference signal; generating an RIS candidate beam list based on the receiver feedback; and transmitting, to the receiver via the at least one first RIS, a radio resource control (RRC) message including the RIS candidate beam list as a beam failure recovery configuration.

Abstract: A method for managing beam alignment by a user equipment is provided. The method comprises receiving beam width information and base station location information from a base station, calculating a displacement of location of the UE based on location coordinates of the UE, measuring a change in a signal strength of the UE due to the displacement, and determining whether the UE is moving towards or away from the base station using at least one of the beam width information, base station location information, the displacement, and the measured change in the signal strength, determining whether a beam re-alignment is required based on the determination of the movement of UE, and transmitting a realignment request to the base station for a re-aligned beam width and a new transmission beam based on determining that the beam re-alignment is required.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a user request for a media item is received. Based on the user request, at least one media item and a description of the at least one media item are identified. A confidence level is obtained that an identified media item of the at least one media item corresponds to the requested media item. In accordance with a determination that the confidence level exceeds a first confidence threshold, a length of the identified description is reduced to obtain a modified description and the modified description of the identified media item is provided in a first spoken response.

Abstract: Embodiments herein disclose a method for controlling a non-linear effect of a power amplifier by an apparatus. The method includes acquiring an input data of the power amplifier of the apparatus and an output data of the power amplifier. Further, the method includes determining an inverse function using a neural network. The inverse function maps normalized output data of the PA to the input data of the PA, where the neural network comprises at least one sub-network for at least one memory tap from a plurality of memory taps in the neural network. Further, the method includes modifying the input data based on the determined inverse function value by dynamically changing a usage of the at least one memory tap from the plurality of memory taps. Further, the method includes compensating the non-linear effect in the output data of the power amplifier.

Abstract: A method for managing beam alignment by a user equipment is provided. The method comprises receiving beam width information and base station location information from a base station, calculating a displacement of location of the UE based on location coordinates of the UE, measuring a change in a signal strength of the UE due to the displacement, and determining whether the UE is moving towards or away from the base station using at least one of the beam width information, base station location information, the displacement, and the measured change in the signal strength, determining whether a a beam re-alignment is required based on the determination of the movement of UE, and transmitting a realignment request to the base station for a re-aligned beam width and a new transmission beam based on determining that the beam re-alignment is required.

Abstract: The disclosure refers to a method and a base station for communication in a high frequency network are provided. The method includes generating a first beam having a first beamwidth in a first area of a cell, determining a plurality of second beamwidth levels for a plurality of second beams possible in the first beamwidth of the first beam, wherein a second beamwidth associated with each of the plurality of second beams is narrower than the first beamwidth, generating the plurality of second beams having the plurality of determined second beamwidth levels, and transmitting at least one synchronization message to a plurality of user equipments via the first beam and the plurality of second beams.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system that supports higher data rates beyond 4th-Generation (4G) communication systems. In particular, one or more embodiments relate to methods and systems for performing cell search in a millimeter wave (mmWave) based communication network. A method disclosed herein includes selecting a subset of receive (Rx) beams from a plurality of Rx beams and scheduling a scan order for the selected subset of Rx beams, upon receiving a plurality of signals from a Base Station. The method also includes performing a cell search using the selected subset of Rx beams individually in the determined scan order. The method further includes combining two or more of the selected Rx beams, upon failing the cell search using the selected subset of Rx beams individually. The method further includes performing the cell search using the combined Rx beams.

Abstract: A computer server controls access to a hosted service using digital certificates that are requested from each client attempting to access the service. When a particular client accesses the hosted service, the host service requests a digital certificate from the particular client and issues a challenge message. The particular client signs the challenge message and provides a client digital certificate to the hosted service. The hosted service confirms that the signature on the challenge message matches the client digital certificate, and that the client digital certificate is signed by a trusted entity. Trusted entities are defined by an administrator by uploading, to the hosted service, one or more trusted digital certificates associated with a trusted entities. Using the trusted digital certificates, the hosted service confirms that the digital certificate provided by the particular client is signed by at least one of the trusted entities.