Abstract: A computing device (110) generates, from a network graph representing a plurality of network elements in a wireless communication network (100) and based on a plurality of network performance metrics, a model of the wireless communication network (100) that groups the network elements having similar radio environments (170) together. The computing device (110) also generates a network configuration recommendation (370) for at least one of the network elements based on the model.

Abstract: Embodiments described herein relate to methods and apparatus for determining cell upgrades, for example whether to upgrade a Long Term Evolution (LTE) cell to Massive Multiple Input Multiple Output (M-MIMO) technology. There is provided a method for determining a cell upgrade metric. The method receives samples having user session data from user equipment communicating within a cell. Training data is obtained from the samples by applying a filtering rule and an autoencoder trained using the samples. The encoder and code layers of the trained autoencoder are combined with a classifier network to generate a combined classification network. The combined classification network is trained using the training data. The trained combined classifier network is used to classify user session data within the same or a different cell and using a plurality of the classifications to determine the cell upgrade metric for the cell.

Abstract: The invention refers to method, performed by a network optimization function associated with a wireless network (100), of forecasting performance issues associated with cells (106, 111, 116) in the wireless network, the method comprising: for each of a plurality of cells in the wireless network, obtaining (1210) first time-series data representing a plurality of key performance indicators, KPIs, at a first plurality of past time points; applying (1220) a multi-layer forecasting model to the first time-series data to determine second time-series data representing the plurality of KPIs for each of the plurality of cells at a second plurality of future time points; and based on the second time-series data, determining (1240) respective probabilities of occurrence for a respective plurality of different performance issues, associated with the plurality of cells, during one or more future time periods that include the second plurality of future time points; the method further refers to a corresponding network opti