Abstract: A method includes performing, via a controller, adaptive filtering on a network quality indicator to predict future values of the network quality indicator, calculating, via the controller, residues between the predicted future values and measured values of the network quality indicator, analyzing, via the controller, the residues over at least one selected frequency band to determine if a threshold has been exceeded for the at least one selected frequency band, and detecting, via the controller, an anomaly event of the network in a frequency band in which a threshold has been exceeded using the residues and measured values of the network quality indicator.

Abstract: A node device of a cellular communication network comprises physical layer circuitry and processing circuitry. The physical layer circuitry is operable to receive signal power information from a user equipment device (UE). The processing circuitry is operable to determine a speed of travel classification for the UE using the signal power information, and configure one or more operating parameters of the cellular communication network using the determined speed of travel classification for the UE.

Abstract: A method includes performing, via a controller, adaptive filtering on a network quality indicator to predict future values of the network quality indicator, calculating, via the controller, residues between the predicted future values and measured values of the network quality indicator, analyzing, via the controller, the residues over at least one selected frequency band to determine if a threshold has been exceeded for the at least one selected frequency band, and detecting, via the controller, an anomaly event of the network in a frequency band in which a threshold has been exceeded using the residues and measured values of the network quality indicator.

Abstract: Methods and systems for predicting network performance include receiving a number of sets of data points of a number of network elements. Each of the number of sets of data points includes performance counter values and a performance indicator of a respective network element of the number of network elements. A global model representing a global relationship pattern between the performance indicator and the performance counter values is determined based on the number of sets of data points of the number of network elements. For each network element, residual features are determined based on error measures between the global model and the set of data points including the performance indicator and the performance counter values of the network element. The number of network elements are clustered into a number of clusters based on the determined residual features of the number of network elements.

Abstract: A node device of a cellular communication network comprises physical layer circuitry and processing circuitry. The physical layer circuitry is operable to receive signal power information from a user equipment device (UE). The processing circuitry is operable to determine a speed of travel classification for the UE using the signal power information, and configure one or more operating parameters of the cellular communication network using the determined speed of travel classification for the UE.