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The next step of the proposed method is the calculation of a correlation coefficient that measures the similarity between a given cell profile and a reference cell profile.
Thus, the "Normal" UE class and cell profile can be properly determined by the proposed method.
A visual representation of the cell profile provides an effective means of diagnosing cells.
Judging from the uniform cell profile of the surface layer, the embryo proper has acquired protoderm characteristics.
Such a cell profile is then correlated to other cell profiles in order to identify faulty cells.
First, the cells are filtered by the number of data sessions that have been used to compute their cell profile.
It might happen that a cell profile is given by a high contribution of two or more fault classes.
For example, several UEs in a cell could provide an abnormal cell profile if these UEs are all located at the cell edge.
For cell k, the diagnosis is given by the RCP having the highest correlation to the cell profile of cell k.
On the contrary, with the proposed method, a distribution of data sessions over the fault classes is provided for each cell, namely the cell profile.
Let C profile be the cost of generating the cell profile, whose complexity is also O(n), since it mainly comprises data aggregation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com