A computer-implemented method for optimizing a cellular network having a plurality of cells (301-307), comprising: selecting a group of cells (301-307) comprising a cell identified as underperforming and one or more neighboring cells (302-307, 622); ranking the one or more neighboring cells (302-307, 622) based on one or more relationship parameters between the underperforming cell and the one or more neighboring cells (302-307, 622); wherein a relationship parameter is a measure of how related a neighboring cell (302-307, 622) is to the underperforming cell with respect to one or more cell features; generating a state tensor for the group of cells (301-307) based on the ranking of the one or more neighboring cells (302-307, 622), the state tensor reflecting operational communication conditions within the group of cells (301-307) in the cellular network ; wherein the state tensor comprises one or more state planes for the one or more cell features; wherein a state plane is a two-dimensional data structure having a horizontal axis and a vertical axis and a plurality of data fields ; wherein the underperforming cell and the one or more neighboring cells (302-307, 622) are placed along the horizontal axis and along the vertical axis ; wherein generating the state tensor comprises populating the data fields of the state plane for a cell feature with data relating to the cell feature, by comparing each cell in the group of cells (301-307) against each other cell in the group of cells (301-307) to provide normalized values indicating the relatedness of each cell in the group of cells (301-307) to each other cell in the group of cells (301-307) with respect to the cell feature; processing the state tensor to produce one or more recommendations for adjusting one or more parameters of the cellular network ; and adjusting the one or more parameters of the cellular network based on the one or more recommendations. selecting a group of cells (301-307) comprising a cell identified as underperforming and one or more neighboring cells (302-307, 622); ranking the one or more neighboring cells (302-307, 622) based on one or more relationship parameters between the underperforming cell and the one or more neighboring cells (302-307, 622); wherein a relationship parameter is a measure of how related a neighboring cell (302-307, 622) is to the underperforming cell with respect to one or more cell features; generating a state tensor for the group of cells (301-307) based on the ranking of the one or more neighboring cells (302-307, 622), the state tensor reflecting operational communication conditions within the group of cells (301-307) in the cellular network ; wherein the state tensor comprises one or more state planes for the one or more cell features; wherein a state plane is a two-dimensional data structure having a horizontal axis and a vertical axis and a plurality of data fields ; wherein the underperforming cell and the one or more neighboring cells (302-307, 622) are placed along the horizontal axis and along the vertical axis ; wherein generating the state tensor comprises populating the data fields of the state plane for a cell feature with data relating to the cell feature, by comparing each cell in the group of cells (301-307) against each other cell in the group of cells (301-307) to provide normalized values indicating the relatedness of each cell in the group of cells (301-307) to each other cell in the group of cells (301-307) with respect to the cell feature; processing the state tensor to produce one or more recommendations for adjusting one or more parameters of the cellular network ; and adjusting the one or more parameters of the cellular network based on the one or more recommendations. <EOS>