A network data analysis method, a functional entity and an electronic device, the network data analysis method comprising: requesting that a first object generate a first model (101), the first object being a training platform, a training module, a training functional entity or a training service module; receiving a model sent by the first object (102).

A network data analysis method, a functional entity and an electronic device, the network data analysis method comprising: requesting that a first object generate a first model (101), the first object being a training platform, a training module, a training functional entity or a training service module; receiving a model sent by the first object (102).

The present disclosure relates to: a communication technique merging IoT technology with a 5G communication system for supporting a data transmission rate higher than that of a 4G system, and a system therefor. The present disclosure can be applied to intelligent services (for example, smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail, security, and safety-related services, and the like) on the basis of 5G communication technology and IoT-related technology. An NWDAF according to an embodiment of the disclosure transmits analytics information or prediction information related to wireless access technology and a frequency band and, additionally, provides information for identifying service demand levels of each terminal. Therefore, a network operator or an entity in charge of same can cause terminals to use a specific wireless access technology or frequency band. Thus, the operator can reduce the power consumed by unnecessary base stations or resources, or can maximize the quality of service experienced by a user through a predicted result.

An O-RAN distributed unit (O-DU) receives, from an intermediate device provided on a fronthaul, processing time information indicating a processing time in the intermediate device. The O-DU decides capability information set for the intermediate device based on at least the processing time information and transmits the decided capability information to the intermediate device.

A search space monitoring method and a device are disclosed. The method is executed by a terminal device, and a plurality of transmission objects are configured for the terminal device. The method includes: obtaining scheduling configuration information; and monitoring an SS based on the scheduling configuration information, where the SS includes an SS in which at least two transmission objects schedule one transmission object.

A core network element includes a processor, and a non-transitory memory coupled to the processor. The non-transitory memory is configured to store non-transitory instructions, and in response to being executed by the processor, cause the core network element to perform operations including generating, by a first artificial intelligence (AI) protocol layer of the core network element, an AI parameter. The first AI protocol layer of the core network element is an upper layer of a next generation application protocol (NGAP) protocol layer of the core network element. The operations further include sending the AI parameter to a first access network device, and receiving the AI data from the first access network device. The AI parameter is useable for indicating AI data that is to be obtained and an obtaining manner of the AI data.

A core network element includes a processor, and a non-transitory memory coupled to the processor. The non-transitory memory is configured to store non-transitory instructions, and in response to being executed by the processor, cause the core network element to perform operations including generating, by a first artificial intelligence (AI) protocol layer of the core network element, an AI parameter. The first AI protocol layer of the core network element is an upper layer of a next generation application protocol (NGAP) protocol layer of the core network element. The operations further include sending the AI parameter to a first access network device, and receiving the AI data from the first access network device. The AI parameter is useable for indicating AI data that is to be obtained and an obtaining manner of the AI data.

The present disclosure discloses an information transmission method and a terminal device. The information transmission method includes: transmitting assistance information to at least one second terminal device if a periodic reporting condition or a preset trigger condition is met, where the assistance information is used for the at least one second terminal device to perform sidelink transmission.

Embodiments of this application provide a method for adjusting a quantity of data streams, a terminal, and a MIMO system. In this method, the terminal may actively negotiate the quantity of transport layers used in a downlink data transmission process with a network device based on an operation status of the terminal, so as to adaptively and dynamically adjust the quantity of data streams in the downlink data transmission process. This may reduce power consumption of the terminal and prolong a standby time of the terminal without affecting user experience while meeting requirements for a data transmission rate of the terminal.

Embodiments of this application provide a method for adjusting a quantity of data streams, a terminal, and a MIMO system. In this method, the terminal may actively negotiate the quantity of transport layers used in a downlink data transmission process with a network device based on an operation status of the terminal, so as to adaptively and dynamically adjust the quantity of data streams in the downlink data transmission process. This may reduce power consumption of the terminal and prolong a standby time of the terminal without affecting user experience while meeting requirements for a data transmission rate of the terminal.