Abstract: Embodiments of this application provide a remote control method and apparatus. The method includes: A remote device receives second request information from a device management system, where the second request information includes a remote control instruction and an authorization token; the remote device verifies validity of the authorization token; and the remote device verifies validity of the remote control instruction by using the authorization token when the authorization token is valid. In some embodiments of this application, the authorization token and the remote control instruction can be verified to verify whether the remote control instruction is within a range of the authorization token to ensure that the remote control instruction is authorized by a user and reduce risks of privacy leakage and property loss of the user.

Abstract: A method and an apparatus provide network problem location based on subscriber perception. A server firstly receives and parses a call history record CHR log sent by a network management system, then determines, according to a parsing result, whether a call of a subscriber is a key quality indicator KQI exception event, and locates a location and a cause of the KQI exception event. The technical solutions provided in the present invention are capable of finding a network problem and locating the network problem from the perspective of subscriber perception.

Abstract: The present disclosure provides a method and a device for identifying very annoying people in a mobile communication network, in which a server receives and parses a call history record CHR log sent by a network management system, then determines whether a call of a subscriber is an abnormal call according to a parsing result, counts the abnormal call of the subscriber according to the CHR log, and finally identifies a very annoying VAP subscriber according to a counting result of abnormal calls. With the solutions provided by the present disclosure, the VAP subscriber in the mobile communication network can be identified with high accuracy.