Patent classifications
H04W4/70
Apparatus and method for providing operator specific service
Convergence of a 5.sup.th-Generation communication system supporting higher data rates beyond 4.sup.th-Generation system(s) with a technology for Internet of Things (IoT) may be applied to intelligent services. Operator specific services are permitted and provided by allowing an unauthorized terminal to search for and access the such services, and includes notifying a terminal of information corresponding to “operator specific services” by allowing a base station to broadcast predetermined information, displaying information acquired by a terminal, matching information acquired by the terminal with information broadcast from a base station to arrange services, requesting access and notifying a terminal performs an access for “operator specific services” upon accessing a network, providing a menu for determining whether neighboring base stations are capable of “operator specific services” to a user of a terminal, and allowing the terminal to determine whether there is the base station broadcasting the information.
Apparatus and method for providing operator specific service
Convergence of a 5.sup.th-Generation communication system supporting higher data rates beyond 4.sup.th-Generation system(s) with a technology for Internet of Things (IoT) may be applied to intelligent services. Operator specific services are permitted and provided by allowing an unauthorized terminal to search for and access the such services, and includes notifying a terminal of information corresponding to “operator specific services” by allowing a base station to broadcast predetermined information, displaying information acquired by a terminal, matching information acquired by the terminal with information broadcast from a base station to arrange services, requesting access and notifying a terminal performs an access for “operator specific services” upon accessing a network, providing a menu for determining whether neighboring base stations are capable of “operator specific services” to a user of a terminal, and allowing the terminal to determine whether there is the base station broadcasting the information.
Telecommunications apparatuses and methods
Methods and apparatuses for activating a vehicular-capable terminal to connect to a base station and/or road side unit. Accordingly a vehicular-capable terminal which would otherwise be in idle mode can then participate in vehicular communications, if appropriate.
Telecommunications apparatuses and methods
Methods and apparatuses for activating a vehicular-capable terminal to connect to a base station and/or road side unit. Accordingly a vehicular-capable terminal which would otherwise be in idle mode can then participate in vehicular communications, if appropriate.
BASE STATION, TERMINAL, TRANSMISSION METHOD, AND RECEPTION METHOD FOR USING PDCCH (PHYSICAL DOWNLINK CONTROL CHANNEL) TO INDICATE RESOURCE ASSIGNMENT FOR PDSCH (PHYSICAL DOWNLINK SHARED CHANNEL)
A resource assignment determiner determines a resource for a PDSCH intended for an MTC terminal, and a transmitter transmits an MPDCCH that includes resource assignment bits indicating the resource thus determined and transmits the PDSCH using the resource thus determined. The MPDCCH is a PDCCH intended for the MTC terminal. The resource assignment bits are associated with a resource that is used when the MPDCCH and the PDSCH are transmitted in the same subframe and a resource that is used when the MPDCCH and the PDSCH are transmitted in different subframes.
METHOD FOR CONFIGURING RESOURCES, FOR DIRECT D2D COMMUNICATION, ON BASIS OF CONGESTION CONTROL IN WIRELESS COMMUNICATION SYSTEM AND DEVICE THEREFOR
Disclosed is a method for a terminal transmitting a sidelink data channel in a wireless communication system. Particularly, the method comprises a step for transmitting a sidelink data channel having a first priority. The sum if resources which can be used for all sidelink data channels having a priority equal to or lower than the first priority is equal to or less than a threshold corresponding to the first priority.
METHOD AND SYSTEM FOR DYNAMIC APN SELECTION
A method for updating communication parameters on a mobile device, the method including sending a communication from the mobile device to a server, the communication including a location of the mobile device; receiving at the mobile device, responsive to the communication, a new communication parameter; reconfiguring the mobile device with the new communication parameter; and sending a second communication from the mobile device to the server, the second communication using the new communication parameter.
METHOD AND SYSTEM FOR DYNAMIC APN SELECTION
A method for updating communication parameters on a mobile device, the method including sending a communication from the mobile device to a server, the communication including a location of the mobile device; receiving at the mobile device, responsive to the communication, a new communication parameter; reconfiguring the mobile device with the new communication parameter; and sending a second communication from the mobile device to the server, the second communication using the new communication parameter.
MULTI-DOMAIN CONVOLUTIONAL NEURAL NETWORK
In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
MULTI-DOMAIN CONVOLUTIONAL NEURAL NETWORK
In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.