A terminal is provided. The terminal includes a communication unit configured to perform communication, and a control unit configured to request a service with priority control related to the communication. The control unit is: an application that performs configuration related to a resource control unit for distributing communication packets associated with a communication path; or a client of the service with priority control related to the communication.

A terminal is provided. The terminal includes a communication unit configured to perform communication, and a control unit configured to request a service with priority control related to the communication. The control unit is: an application that performs configuration related to a resource control unit for distributing communication packets associated with a communication path; or a client of the service with priority control related to the communication.

Systems and methods related to traffic flow prediction in a wireless network are disclosed. In one embodiment, a computer-implemented method comprises collecting training data comprising Internet Protocol (IP) addresses extracted from packets for traffic flows in a wireless network and one or more actual traffic type related parameters for each of the traffic flows. The method further comprises training heavy-hitter IP address encodings based on the extracted IP addresses and encoding the extracted IP addresses using the trained heavy-hitter IP address encodings. The method further comprises training a traffic type predictor of a traffic flow predictor based on the encoded IP addresses and the one or more actual traffic type related parameters for each of the traffic flows, where the traffic type predictor is a learning model that maps encoded IP addresses to one or more predicted traffic type related parameters.

Systems and methods related to traffic flow prediction in a wireless network are disclosed. In one embodiment, a computer-implemented method comprises collecting training data comprising Internet Protocol (IP) addresses extracted from packets for traffic flows in a wireless network and one or more actual traffic type related parameters for each of the traffic flows. The method further comprises training heavy-hitter IP address encodings based on the extracted IP addresses and encoding the extracted IP addresses using the trained heavy-hitter IP address encodings. The method further comprises training a traffic type predictor of a traffic flow predictor based on the encoded IP addresses and the one or more actual traffic type related parameters for each of the traffic flows, where the traffic type predictor is a learning model that maps encoded IP addresses to one or more predicted traffic type related parameters.

The present disclosure relates to a method for transferring data, in which a peripheral device and a central device are wirelessly connected in accordance with the Bluetooth Low Energy (BLE) standard and a data packet is transferred within a transfer window of a Bluetooth Low Energy data channel between the peripheral device and the central device.

The present disclosure relates to a method for transferring data, in which a peripheral device and a central device are wirelessly connected in accordance with the Bluetooth Low Energy (BLE) standard and a data packet is transferred within a transfer window of a Bluetooth Low Energy data channel between the peripheral device and the central device.

An apparatus which is able to communicate based on at least two communication methods, wherein each communication method is configured to communicate with access networks by using at least one subflow, acquires (S41) information from at least one of the communication methods for at least one of the subflows and provides (S42) the information to a subflow control entity at a higher layer of the apparatus. Based on the information, the subflow control entity evaluates (S43) whether a change will occur in the at least one of the subflows. In case the change is evaluated to occur in the at least one of the subflows, the subflow control entity evaluates (S44) when the change will occur, and evaluates (S45) whether the change evaluated to occur impacts a specific requirement of delivering packets by using the at least one of the subflows. In case the change is evaluated to impact the specific requirement, the subflow control entity changes (S46) usage of the subflows for delivering packets.

An apparatus which is able to communicate based on at least two communication methods, wherein each communication method is configured to communicate with access networks by using at least one subflow, acquires (S41) information from at least one of the communication methods for at least one of the subflows and provides (S42) the information to a subflow control entity at a higher layer of the apparatus. Based on the information, the subflow control entity evaluates (S43) whether a change will occur in the at least one of the subflows. In case the change is evaluated to occur in the at least one of the subflows, the subflow control entity evaluates (S44) when the change will occur, and evaluates (S45) whether the change evaluated to occur impacts a specific requirement of delivering packets by using the at least one of the subflows. In case the change is evaluated to impact the specific requirement, the subflow control entity changes (S46) usage of the subflows for delivering packets.

A mechanism is disclosed operating a transport network function (TNF) as part of a fifth generation wireless (5G) virtualized control plane. The mechanism includes receiving a request to compute a traffic engineering (TE) path in a 5G transport network for a packet data unit (PDU) session, the request received from a 5G virtualized control plane function via a service based interface (SBI) bus. Network topology information for the 5G transport network is obtained via a northbound interface (Nn). A TE path across the 5G transport network is computed for the PDU session based on the network topology information. A TE path identifier for the TE path computed for the PDU session is returned via the SBI bus.

A mechanism is disclosed operating a transport network function (TNF) as part of a fifth generation wireless (5G) virtualized control plane. The mechanism includes receiving a request to compute a traffic engineering (TE) path in a 5G transport network for a packet data unit (PDU) session, the request received from a 5G virtualized control plane function via a service based interface (SBI) bus. Network topology information for the 5G transport network is obtained via a northbound interface (Nn). A TE path across the 5G transport network is computed for the PDU session based on the network topology information. A TE path identifier for the TE path computed for the PDU session is returned via the SBI bus.