A method of enhanced error handling for 5G QoS operations is proposed. A PDU session defines the association between the UE and the data network that provides a PDU connectivity service. Each PDU session is identified by a PDU session ID, and may include multiple QoS flows and QoS rules. Within a PDU session, there should be one and only one default QoS rule. The default QoS rule indication (DQR) and the QoS flow identifier (QFI) of a signaled QoS rule should not be changed. Two new 5G session management (5GSM) causes are defined: a semantic error in the QoS operation (cause value #83) and a syntactic error (cause value #84) in the QoS operation. The UE should check the QoS rule provided in a PDU session modification command message for different types of QoS rule errors.

A method, a device, and a non-transitory storage medium are described in which a radio service is provided. The radio service may provide radio resource control of radio resources of at least three different time scales. The radio service may include machine learning or artificial intelligent devices that include radio network information of the at least three different time scales.

In a 5G network, a slice controller is arranged to dynamically configure a radio access network (RAN) by allocating physical radio resources into RAN slices by making predictions of channel state information (CSI) for user equipment (UE) executing applications that make connectivity requests for admission to particular identified slices. The slice controller grants or denies admission requests based on the predicted CSI to ensure that applicable service level agreement (SLA) guarantees are satisfied for traffic across all the RAN slices. Each time new admission requests are received from applications, the slice controller determines whether a suitable RAN configuration exists that will enable SLA guarantees for the slices to continue to be satisfied for the current traffic while also meeting the SLA guarantees applicable to the new admission request.

A terminal device (40) includes a control unit (45). The control unit (45) acquires service information about one or more services provided via a base station apparatus (20). The control unit (45) selects at least one service desired to be used, from among one or more services. The control unit (45) transmits a registration request message including the service selected, to a management device (10A) managing mobility of the terminal device (40) via the base station apparatus (20). The control unit (45) receives, for each service included in the registration request message, reference information about an operating environment of the terminal device (40) requested upon using the service.

A terminal device (40) includes a control unit (45). The control unit (45) acquires service information about one or more services provided via a base station apparatus (20). The control unit (45) selects at least one service desired to be used, from among one or more services. The control unit (45) transmits a registration request message including the service selected, to a management device (10A) managing mobility of the terminal device (40) via the base station apparatus (20). The control unit (45) receives, for each service included in the registration request message, reference information about an operating environment of the terminal device (40) requested upon using the service.

An artificial intelligence network operator (aiNO) that autonomously and dynamically acquires network resources on an open marketplace includes software running a machine learning model and a processor that controls backhaul connectivity and a network communication component. In some embodiments, the aiNO facilitates resale of the acquired network resource to end users.

An artificial intelligence network operator (aiNO) that autonomously and dynamically acquires network resources on an open marketplace includes software running a machine learning model and a processor that controls backhaul connectivity and a network communication component. In some embodiments, the aiNO facilitates resale of the acquired network resource to end users.

A transmission method, a configuration method, and an apparatus for remote UE, and an electronic device, and pertains to the field of communications technologies. The transmission method for the remote terminal UE includes: obtaining configuration parameters for a PC5 interface for transmission of relay service from a network-side device or relay UE; and establishing, based on the obtained configuration parameters, a sidelink radio bearer SLRB and performing data transmission.

The present application relates to the technical field of communications, and provides a parameter configuration method, apparatus and system, a device and a storage medium. The method comprises: a core network sends parameter configuration information to a relay terminal device, wherein the parameter configuration information is used for configuring QoS parameters between the relay terminal device and a remote terminal device in the case of starting a reflective QoS mechanism. The present application ensures the quality of service transmission between the relay terminal device and the remote terminal device.

A network function selectively supports a mobile device with network settings appropriate for the device context of the mobile device. The network function obtains a device profile for the mobile device, which identifies multiple device groups, with each device group being associated with a corresponding set of network settings. The network function selects a device group among the device groups in the device profile based on the device context of the mobile device. The network function directs at least one network function in the network to support the mobile device with a set of network settings corresponding to the selected device group.