Most current Global System for Mobile Communications (GSM) frequency planning methods
evaluate the interference and assign frequencies based on measurement reports. Assigning the same or
adjacent frequencies to cells close to each other will introduce co-channel and adjacent channel interference
which will reduce network performance. Traditionally, man power is used to check and allocate new
frequencies which is time consuming and the accuracy is not satisfactory. This paper presents an intelligent
analysis method for optimization of co-channel and adjacent channel interference by exploiting cell configuration
information. The method defines an interference evaluation model by analyzing various factors such
as the base station layer, the azimuth ward relationship, and the cell neighborhood relationships. The interference
for each frequency is evaluated and the problem frequencies are optimized. This method is verified
by a large number of actual datasets from an in-service GSM network. The results show this method has
better intelligence, accuracy, timeliness, and visualization than traditional methods.