There is disclosed an apparatus. The apparatus comprises means for performing: in response to determining a lack of resource or an impending lack of resource in a communication network, determining whether an agreed level of service for one or more service requirements of one or more services will be affected; and when it is determined that the agreed level of service for one or more service requirements of one or more services will be affected, determining whether one or more customers can tolerate non-compliance with the agreed level of service.

There is disclosed an apparatus. The apparatus comprises means for performing: in response to determining a lack of resource or an impending lack of resource in a communication network, determining whether an agreed level of service for one or more service requirements of one or more services will be affected; and when it is determined that the agreed level of service for one or more service requirements of one or more services will be affected, determining whether one or more customers can tolerate non-compliance with the agreed level of service.

Custom-tailored warranties are provided with improved service level agreements (SLA) based upon an estimated turnaround time for service and/or parts. The turnaround time is calculated using an artificial intelligence or machine learning engine considering parameters such as the transit time from the nearest service centers and warehouses, the availability of service engineers at the service centers, and the availability of replacement parts in the warehouse. A custom-tailored warranty also may be offered for a specific customer-selected SLA if supported by the estimated turnaround time for the location. A warranty recommendation may be based on device location for data centers in multiple locations. A Location-Based Warranty Monitor (LBWM) provides fine-grained warranty suggestions and Un-bound Warranty Tokens (UWTs) can be bound to a system to assign a warranty with a desired. SLA.

Disclosed in embodiments of this application are a data processing method and apparatus, a terminal device, and a non-transitory computer-readable storage medium. When the terminal device determines that a delay is less than a standard index, estimation of a load situation of a base station is triggered. Based on an obtained load value, a QoS service request can be initiated by the terminal device in a accordance with a determination that the base station is heavily-loaded, thereby effectively avoiding ineffective calling of a QoS service by the terminal device and improving effectiveness of service calling.

A method of data processing is applied to a communications device including a first sublayer. A physical sublayer is added above a physical coding sublayer (PCS) of a physical layer, and the physical sublayer is connected to media independent interfaces (xMIIs) with different Ethernet rates. Data signals from different media access control clients (MAC) are interleaved using the physical sublayer. Then, a tx_cmd command is used to instruct the PCS to correspondingly encode an xMII signal. Finally, an encoded xMII signal is sent through a port. According to this method, an encoding function of the PCS may continue to be used, to decouple interleaving from encoding and perform the interleaving through an xMII interface. In this case, port channelization can be implemented for ports with multiple rates, and transmission of a high-priority service is ensured when there is an excessively large quantity of service flows in a transmission process.

A method of data processing is applied to a communications device including a first sublayer. A physical sublayer is added above a physical coding sublayer (PCS) of a physical layer, and the physical sublayer is connected to media independent interfaces (xMIIs) with different Ethernet rates. Data signals from different media access control clients (MAC) are interleaved using the physical sublayer. Then, a tx_cmd command is used to instruct the PCS to correspondingly encode an xMII signal. Finally, an encoded xMII signal is sent through a port. According to this method, an encoding function of the PCS may continue to be used, to decouple interleaving from encoding and perform the interleaving through an xMII interface. In this case, port channelization can be implemented for ports with multiple rates, and transmission of a high-priority service is ensured when there is an excessively large quantity of service flows in a transmission process.

A communication method and a system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT) is provided. The disclosure is applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method performed by a first entity performing a network data analytics function (NWDAF) is provided. The method includes receiving, from a second entity performing network function (NF), a first message for requesting observed service experience analytics, the first message including single-network slice selection assistance information (S-NSSAI) indicating a network slice, transmitting, to a third entity performing application function (AF) associated with the S-NSSAI, a second message for requesting service data associated with the observed service experience analytics, the second message including information on at least one application, receiving, from the third entity, the service data including at least one service experience for the at least one application, identifying the observed service experience analytics based on the service data, and transmitting, to the second entity, the observed service experience analytics.

A communication method and a system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT) is provided. The disclosure is applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method performed by a first entity performing a network data analytics function (NWDAF) is provided. The method includes receiving, from a second entity performing network function (NF), a first message for requesting observed service experience analytics, the first message including single-network slice selection assistance information (S-NSSAI) indicating a network slice, transmitting, to a third entity performing application function (AF) associated with the S-NSSAI, a second message for requesting service data associated with the observed service experience analytics, the second message including information on at least one application, receiving, from the third entity, the service data including at least one service experience for the at least one application, identifying the observed service experience analytics based on the service data, and transmitting, to the second entity, the observed service experience analytics.

A method and an apparatus for supporting TSN in a wireless communication network are disclosed. The method for supporting fully-distributed time-sensitive networking (TSN) by a user plane function in a mobile communication system includes receiving a first status frame through a user equipment (UE) connected to a first TSN node, the first status frame including at least one of information about the first TSN node, information about a second TSN node for transmitting a data frame, stream information for transmitting data, and accumulated latency information; transmitting an update request for service quality (QoS) setup to a TSN application function (TSN AF) through a PDU session update procedure for the UE based on the received first status frame; and updating the first status frame upon receiving QoS setup information from the TSN AF, wherein the QoS setup information may include at least one of accumulated latency designated by the TSN AF, the status of the first TSN node, and the status of the second TSN node.

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.