Abstract:
An operating method of the display device includes detecting, through at least one sensor, at least one sensing value corresponding to the at least one sensor, identifying a touch area on the display device that is touched by a mobile device, based on the at least one sensing value, receiving status information about an operation that is being executed by the mobile device, from the mobile device, and performing a function corresponding to the identified touch area, based on the received status information.
Abstract:
A method for decoding user data by an apparatus in a wireless network is provided. The method includes receiving, by the apparatus, user data associated with a plurality of network parameters. The method includes training, by the apparatus, a neural network using the plurality of received network parameters. Further, the method includes computing, by the apparatus, a Log Likelihood Ratio (LLR) using the trained neural network. Further, the method includes decoding, by the apparatus, the received user data using the computed LLR.
Abstract:
An image projecting apparatus including an optical output unit for projecting and image, a camera, a plurality of sensors, and a processor is disclosed. The processor is configured to identify, based on sensing data received through the plurality of sensors, a distance between each of the plurality of sensors and a projection surface, provide, based on a difference between the identified distances being greater than or equal to a pre-set threshold value, a user interface configured to guide a direction adjustment of the image projecting apparatus, and identify, based on a difference between the identified distances being less than the pre-set threshold value, a shape of a projected image by photographing an image projected to the projection surface through the camera, and control the optical output unit to project an image corrected based on the identified shape.
Abstract:
A method and Network function for controlling an operation of a device based on a service provided to the device is provided. The method includes obtaining at least one of information about the service requested by the device, movement information of the device, or capability information of the device, determining a characteristic of the service provided to the device based on at least one of the information about the service, the movement information of the device, or the capability information of the device, generating service setting information for the service provided to the device based on the determined characteristic of the service, and transmitting, to an Access and Mobility Function (AMF), the service setting information.
Abstract:
A method and an apparatus for priority based inter-radio access technology (inter-RAT) cell reselection are provided. In the existing algorithm for priority based inter-RAT cell reselection, an inter-RAT cell whose signal strength is above a preset threshold for a given duration is considered as satisfying the cell reselection criteria and may become a candidate for cell reselection. In this case, among those cells whose signal strength is above the preset threshold, a cell that does not have the highest priority may be selected. To address the above problem, the reference time duration for cell reselection may be changed. The enhanced cell reselection algorithm selects a cell having the highest priority among cells whose signal strength is above a preset threshold. Hence, it is possible to prevent repetition of unnecessary cell reselection.
Abstract:
Methods for optimizing training of a data driven model in a wireless network by data driven model validation controller running in electronic device. The method may include obtaining and selecting a candidate data driven model from a plurality of candidate data driven models. The method may include determining whether the selected candidate data driven model meets a predefined prediction. The method may include deploying the selected candidate data driven model to a target deployment environment upon determining that the selected candidate data driven model meets the prediction. The method may include sending the selected candidate data driven model to a data driven model optimizer running in the electronic device for tuning a hyper-parameter and the data driven technique running in the data driven model upon determining that the selected candidate data driven model does not meet the prediction.
Abstract:
An operating method of the display device includes detecting, through at least one sensor, at least one sensing value corresponding to the at least one sensor, identifying a touch area on the display device that is touched by a mobile device, based on the at least one sensing value, receiving status information about an operation that is being executed by the mobile device, from the mobile device, and performing a function corresponding to the identified touch area, based on the received status information.
Abstract:
A system and/or method for automated ML model retraining by an electronic device. The system and/or method may include one or more of: running a first ML model and a second ML model, predicting an accuracy degradation of the first ML model using the second ML model, determining whether the predicted accuracy degradation meets a pre-defined threshold, and/or retraining the first ML model when the predicted accuracy degradation meets the pre-defined threshold.
Abstract:
Embodiments of the disclosure provide a method for provisioning mobility management during congestion in a wireless network by a network apparatus. The method includes: detecting a plurality of parameters of a current cell associated with at least one User Equipment (UE) in the wireless network; predicting an uplink (UL) congestion condition with an uplink radio resource of the current cell by applying at least one machine learning model to the plurality of parameters of the current cell; performing a mobility of the at least one UE from the current cell to at least one target cell in the wireless network based on the predicted UL congestion condition with the uplink radio resource of the current cell associated with the at least one UE.
Abstract:
The present disclosure relates to a method and an apparatus for decoding data packets in communication network. The method comprises receiving one or more data packets related to each of one or more data types; and decoding the one or more data packets using a parity check matrix associated with the corresponding data type, wherein the parity check matrix comprises a plurality of layers, arranged according to a combination of layers which is determined using a reinforcement model.