IMPROVING UPLINK PERFORMANCE AVOIDING PARAMETER CONFLICTS IN A WIRELESS NETWORK

The invention refers to a method performed by a performance recommender for a wireless network, obtaining (2010) for a plurality of cells input data, the input data comprising actual cell configuration parameter values; applying (2030) a machine-learning model to the input data to generate, for at least a portion of the cells, one or more recommendations for changes to the cell configuration parameter values to improve uplink, UL, performance in the respective cells; and based on identifying conflicts between recommendations for different cells, partitioning (2040) the plurality of cells into a plurality of interaction areas of neighboring cells; resolving (2050) conflicts in recommendations for respective cells within each of the interaction areas and across different interaction areas; and for at least a portion of the cells, determining (2060) preferred values for the cell configuration parameters to improve UL performance in the respective cells; the invention further relates to a corresponding performance recommender and a corresponding computer program.