Data Mining for Base Station Evaluation in LTE Cellular Systems

Effective base station (BS) evaluation can assist telecom operators to find problematic cells and optimize the system performance. This paper proposes a data mining based joint BS evaluation (JBSE) algorithm in LTE cellular systems. Initially, the JBSE algorithm considers four key factors, including the cell energy consumption, the cell revenue, the cells distribution induced interference, the high BS induced cross-boundary coverage. Then, the expert judgement matrix is employed to rank the level of each factor. Finally, the JBSE algorithm evaluates each cell comprehensively. The JBSE algorithm is used in the LTE systems evaluation of a city in China. It can find problematic cells effectively.