Abstract: The method including: obtaining identity information and location information of a user terminal, and monitoring, according to the identity information and the location information, whether the user terminal has moved to a target region; obtaining a target network quality level if the user terminal has moved to the target region, where the target network quality level includes a current network quality level of the user terminal in the target region; querying whether the user terminal has a historical network quality level in the target region; if the user terminal has the historical network quality level in the target region, obtaining the historical network quality level, and evaluating network quality of the user terminal in the target region according to the historical network quality level and the target network quality level.

Abstract: Techniques are provided for monitoring the performance of a user device in a communication network. The techniques include detecting an anomaly in a performance measurement such as a key quality indicator (KQI) of the user device. The techniques include obtaining historical measurements of the KQI for user devices. The historical measurements are assigned to states to reflect whether the performance is good or bad, or somewhere in between. The states can be defined differently for different hours in the day so that the states represent the relative performance for that time of day. For each user device, a Markov model is provided indicating probabilities of transitions between the states. Additional measurements are obtained of the KQI for a selected user device, and the Markov model of the selected user device is used to detect an anomaly in the additional measurements.

Abstract: The method including: obtaining identity information and location information of a user terminal, and monitoring, according to the identity information and the location information, whether the user terminal has moved to a target region; obtaining a target network quality level if the user terminal has moved to the target region, where the target network quality level includes a current network quality level of the user terminal in the target region; querying whether the user terminal has a historical network quality level in the target region; if the user terminal has the historical network quality level in the target region, obtaining the historical network quality level, and evaluating network quality of the user terminal in the target region according to the historical network quality level and the target network quality level.

Abstract: Techniques are provided for monitoring the performance of a user device in a communication network. The techniques include detecting an anomaly in a performance measurement such as a key quality indicator (KQI) of the user device. The techniques include obtaining historical measurements of the KQI for user devices. The historical measurements are assigned to states to reflect whether the performance is good or bad, or somewhere in between. The states can be defined differently for different hours in the day so that the states represent the relative performance for that time of day. For each user device, a Markov model is provided indicating probabilities of transitions between the states. Additional measurements are obtained of the KQI for a selected user device, and the Markov model of the selected user device is used to detect an anomaly in the additional measurements.