Abstract: A terminal according to one aspect of the present disclosure includes: a receiving section that receives at least one synchronization signal block of a first synchronization signal block and a plurality of second synchronization signal blocks; and a control section that controls reception by assuming that the plurality of second synchronization signal blocks are quasi-co-located (QCLed) with the first synchronization signal block. According to one aspect of the present disclosure, coverage can be improved by taking account of overhead.

Abstract: A radio node that has: a communication unit that performs a simultaneous communication operation whereby a first communication with a child node or a terminal and a second communication with a parent node are conducted simultaneously and an independent communication operation whereby either the first communication or the second communication is performed; and a control unit that, on the basis of either a report to the parent node or a notification from the parent node, or both, makes a determination to switch between the simultaneous communication operation and the independent communication operation.

Abstract: A service demand potential prediction device (10) includes: an acquisition unit (11) for acquiring the number of service provision results for own-company service and other-company service for each area; a calculation unit (12) for calculating a relative index of the own-company service to the other-company service for each area; a selection unit (13) for selecting a dominant area where the own-company service is dominant; a construction unit (14) for constructing a model (M) by performing machine learning using a characteristic amount of the dominant area as an explanatory variable and the number of service provision results of the own-company service as an objective variable; and a prediction unit (15) for predicting a service demand potential of the own-company service when the non-dominant area is assumed to be a dominant area by inputting the characteristic amount of the non-dominant area into the model (M).

Abstract: Beam failure detection or beam failure recovery is appropriately performed even when a plurality of transmission/reception points is used. A terminal according to an aspect of the present disclosure includes a receiving section that receives information regarding a detection unit of a beam failure corresponding to each of one or more cells, and a control section that controls transmission of a medium access control control element (MAC CE) including a field indicating a beam failure in a cell unit or a transmission/reception point at which a beam failure is detected based on the detection unit of the beam failure of a corresponding cell.

Abstract: A display control device is a device that performs control relating to display in a display displaying display information arranged in common in a common virtual space with another display in accordance with a visual line for each display in the virtual space based on a position or a posture in a real space for each display, the display control device includes: a position of interest information acquiring unit configured to acquire position of interest information representing a position of interest in a virtual space in the other display according to display in the other display; and a visual line moving unit configured to move the visual line in the virtual space in the display of the display on the basis of the acquired position of interest information.

Abstract: A terminal according to one aspect of the present disclosure includes: a receiving section that receives an indication of a repetition of a plurality of types of signals; and a control section that applies the repetition to the plurality of types of signals, based on the indication. According to one aspect of the present disclosure, coverage can be improved by taking account of overhead.

Abstract: An advertising effect prediction device includes: a construction unit that converts layout information of delivered manuscript into a graph structure through collation with a flow line of a user using a scheme related to a GNN based on delivery setting information and delivered manuscript information, derives a feature quality of each node in the graph structure, and performs machine learning using the feature quantity as an explanatory variable and a click through rate performance value of each delivery as an objective variable to construct a prediction model for predicting a click through rate; and a prediction unit that converts the layout information of the delivered manuscript into a graph structure using the same scheme based on the delivery setting information and the delivered manuscript information and inputs the feature quantity to the prediction model, to obtain a click through rate prediction value related to a target delivery.

Abstract: A terminal according to an aspect of the present disclosure includes: a receiving section that computes a radio link quality corresponding to one or more reference signals; and a control section that detects a predicted beam failure on the basis of a predicted radio link quality at a future time computed based on the radio link quality. According to an aspect of the present disclosure, communication quality can be preferably maintained.

Abstract: A terminal according to one aspect of the present disclosure includes: a receiving section that receives at least one synchronization signal block of a first number of first synchronization blocks and a second number of second synchronization signal blocks; and a control section that controls initial access based on the synchronization signal block. According to one aspect of the present disclosure, coverage can be improved by taking account of overhead.

Abstract: An advertising effect prediction device includes: a construction unit that converts all delivery design information including layout information of a delivered manuscript and delivery user information into a graph structure through collation with a flow line of a user using a scheme related to a GNN based on the delivery user information and delivered manuscript, derives a feature quantity of each node, and performs machine learning using the feature quantity as an explanatory variable and a click through rate performance value in the same delivery obtained from delivery result as an objective variable to construct a prediction model for predicting a click through rate; and a prediction unit that converts all delivery design information into a graph structure using the same scheme based on the delivery user information and delivered manuscript and inputs the feature quantity to the prediction model, to obtain a click through rate prediction value.

Abstract: A terminal includes: a control section that generates Capability information including UE Capability for a Power Class; and a transmission section that transmits the Capability information. The Power Class is specified by four items of Max Total Radiated Power (TRP), Max peak Equivalent Isotropic Radiated Power (EIRP), Min peak EIRP, and Spherical coverage EIRP, and an Inter-band-Carrier-Aggregation (CA) specified value of at least one of the Max peak EIRP and the Min peak EIRP for Inter-band CA in which a plurality of bands are used is defined by a method different from a method for a non-Inter-band-CA specified value.

Abstract: A document classification device is a device that generates a document classification model which outputs identification information for identifying a result of classification on the basis of an input document by machine learning, and includes: an acquisition unit configured to acquire learning data including a document and the identification information correlated with the document; a feature extracting unit configured to extract words included in the document and character information which is a character string including one character of characters constituting the words or a plurality of characters consecutive in the words and which is one or more pieces of information capable of being extracted from the words as features; and a model generating unit configured to perform machine learning on the basis of the feature extracted from the document and the identification information correlated with the document and to generate the document classification model.

Abstract: A user equipment including: a reception unit configured to receive sidelink data from a transmission side user equipment; and a transmission unit configured to transmit feedback information for the sidelink data, wherein the transmission unit transmits the feedback information using a resource determined based on a transmission ID that is an ID on the transmission side user equipment, or a reception ID that is an ID on the user equipment, or both of the transmission ID and the reception ID.

Abstract: A terminal according to one aspect of the present disclosure includes a control section that determines mapping of a sequence of a redundancy version (RV) which is to be applied for a channel that is repeatedly transmitted, to each transmission occasion, based on a field of downlink control information (DCI) for scheduling the channel, and a receiving section that receives the channel based on the mapping. According to one aspect of the present disclosure, repetition processing can be appropriately controlled.

Abstract: Server apparatus, by controlling aerial vehicle, causes aerial vehicle to fly within a close range of an animal group, and causes aerial vehicle to capture images of the animal group. Aerial vehicle transmits captured image data to server apparatus via communication network, and server apparatus checks a health state of animals of the animal group using the captured image data with a method such as image analysis. Server apparatus performs machine learning using position information history of wireless terminals attached to animals (that is, a movement history of the animal group), specifies an area for checking the state of the animal group, and causes aerial vehicle to fly to the specified area and to capture images of the animal group.

Abstract: To appropriately perform communications even when a random access procedure with less steps than existing steps is performed, an aspect of a user terminal according to the present disclosure includes a transmitting section that transmits a UL signal including a random access preamble and a certain message, a receiving section that receives a DL signal transmitted in response to the UL signal, and a control section that controls at least one of transmission of the UL signal and reception of the DL signal by applying a common behavior to a first procedure for transmitting the UL signal in accordance with an indication from a network and a second procedure for transmitting the UL signal without any indication from the network.

Abstract: An advertising effect prediction device includes: a construction unit that converts layout information of delivered manuscript into a graph structure through collation with a flow line of a user using a scheme related to a GNN, and performs machine learning using a feature quality of each node in the graph structure and delivery user attribute information as explanatory variables and a flag indicating presence or absence of a click of each delivery user based on delivery result as an objective variable to construct a prediction model for predicting click through rate of an individual user; and a prediction unit that converts the layout information into a graph structure using the same scheme based on target user attribute information and the delivered manuscript and inputs the feature quantity and the target user attribute information to a prediction model, to obtain click through rate prediction value of the individual user.

Abstract: This terminal comprises: a transmission unit that uses a cell different from cells in which signals based on dynamic scheduling have been received, to transmit response signals responsive to the signals; and a control unit that multiplexes overlapping slots of the response signals transmitted in the different cell.

Abstract: A terminal transmits an uplink signal through an uplink and controls transmission timing of the uplink signal. The terminal configures different timing values for each of a plurality of uplink signals transmitted within the same cell.

Abstract: The present disclosure provides an electronic device and a modulation method. The electronic device includes: a receiving unit, which is configured to obtain a first input bit sequence; and a control unit, which is configured to perform pseudo N-order first type modulation on the first input bit sequence, wherein N first symbols that may be obtained by means of the pseudo N-order first type modulation are a portion of second symbols that may be obtained by means of M-order second type modulation, M and N are positive integers, and M is greater than N.