There is provided a method for assessing network performance. The method includes acquiring network measurements indicative of any changes in a network following a change to a configuration of the network and data indicative of one or more factors capable of causing the changes in the network. The one or more factors are independent of the change to the configuration of the network. The method includes analysing the acquired network measurements and data to identify a contribution of the one or more factors to a key performance indicator (KPI) and a contribution of the change to the configuration of the network to the KPI. The KPI is predicted by a machine learning model and is a measure of the network performance following the change to the configuration of the network.

A method for frequency adjustment, a terminal, and a storage medium are provided. In the method, the terminal obtains state information of the terminal, where the state information indicates a movement state and/or a service state of the terminal, and adjusts an idle-state-measurement frequency of a non-data card of the terminal according to the state information of the terminal.

A method for frequency adjustment, a terminal, and a storage medium are provided. In the method, the terminal obtains state information of the terminal, where the state information indicates a movement state and/or a service state of the terminal, and adjusts an idle-state-measurement frequency of a non-data card of the terminal according to the state information of the terminal.

An access method. The access method includes: acquiring an AT model type supported by each of one or more network devices; and selecting, according to the AT model type supported by each of the one or more network devices, a network device that corresponds to the AT model type matching an AT model type supported by a terminal for access.

The present application provides a network optimization method, including: sending a session setup request message to a client device to request the client device to perform measurement configuration on a designated network side device and perform measurement configuration on a terminal device connected to the designated network side device; receiving a measurement report message of the designated network side device and a measurement report message of the terminal device; determining, according to pre-acquired machine learning description information, whether to perform collaborative training with the client device; and performing designated model training processing for network optimization based on whether to perform collaborative training with the client device and measurement data in the received measurement report messages, and sending a model training processing result to the client device to instruct the client device to obtain a network optimization action according to the model training processing result.

A method, performed by a first node (111). The method is for handling scaling of a network slice in a communications network (100). The first node (111) operates in the communications network (100). The first node (111) obtains (203), from a second node (112) operating in the communications network (100), a request to scale a network slice. The first node (111) then determines (204) whether or not to scale the network slice. The determining (204) is based on a cost effectiveness of the network slice.

Aspects presented herein may enable a remote UE to notify a base station about the availability of a relay UE that is not connected to the base station. In one aspect, a remote UE transmits, to a relay UE, a relay request via sidelink, the relay UE being in an RRC inactive mode. The remote UE receives, from the relay UE via the sidelink, an indication of relay availability in response to the relay request. The remote UE receives, from a base station, a configuration for relay of communication from the base station over the sidelink between the remote UE and the relay UE. The remote UE transmits or receives user data from the base station through the relay UE based on the configuration.

A system and associated method for enabling end-to-end (E2E) network slicing in a 5G network are described. A (Radio) Access Network-Network Slice Selection Function ((R)AN-NSSF) can be configured to receive a (R)AN slice selection request and to select, from a pool of (R)AN slice instances, a (R)AN network slice instance including one or more (R)AN slice components. A Core Network-Network Slice Selection Function (CN-NSSF) can be configured to receive a CN slice selection request to select, from a pool of CN slice instances, a CN network slice instance including one or more CN slice components. A Network Slice Policy Control (NSPC) function can be configured to verify that the selected (R)AN slice instance and CN slice instance are consistent with operator policies.

A system and associated method for enabling end-to-end (E2E) network slicing in a 5G network are described. A (Radio) Access Network-Network Slice Selection Function ((R)AN-NSSF) can be configured to receive a (R)AN slice selection request and to select, from a pool of (R)AN slice instances, a (R)AN network slice instance including one or more (R)AN slice components. A Core Network-Network Slice Selection Function (CN-NSSF) can be configured to receive a CN slice selection request to select, from a pool of CN slice instances, a CN network slice instance including one or more CN slice components. A Network Slice Policy Control (NSPC) function can be configured to verify that the selected (R)AN slice instance and CN slice instance are consistent with operator policies.

Embodiments of this application relate to the field of terminal technologies and disclose a method for automatically enabling an access point function and a relay function, and an electronic device. After an electronic device is powered on, if the electronic device is connected to a wired network and does not use the network within preset duration, an AP mode is enabled; or if the electronic device is connected to a wireless network and does not use the network within preset duration, a repeater mode is enabled. The AP function and the relay function can be automatically enabled on the electronic device such as a personal computer or a smart screen, and an existing device of a consumer can be set as an AP or a repeater. The consumer does not need to buy a dedicated AP or repeater. This improves Wi-Fi use experience of the consumer.