Novel Approach for Optimization of Cell Planning and Capacity
Ali Hakan · 2009
Configuration, Cost, base station output power are important resources in cellular mobile radio systems. The main idea of cell planning is the maximize capacity in another words number of subscribers and minimize cost at the same time. In a GSM system, where coverage areas are divided into cells in planning phase, the division method and its parameters have a great importance. This study explains GSM system and cell planning process, and gives information about the features of fuzzy logic algorithm. Fuzzy logic solves problems better than other control algorithms in which initial parameters are needed to be assigned by the designer, which have variables that aren't defined well and change with time and where system expert's knowledge and experience have great importance in design process. Cell planning has same important problems that it's variables aren't defined well, change with time. These important problems of cell planning are the cell radius, base station number and power, TRU (transceiver unit) number, N (number of cells per cluster), cost, CIR (channel interference ratio), D (distance between two cells which use same frequency at the same time) are found for urban, suburban and rural areas by using omni or three sector antennas. GSM cell planning is simulated by using fuzzy logic algorithm, a computer program is written to determine what kind of configuration changes have to be made so as to minimize the number of base station, and hence the total system cost, and also to maintain the requirements of the maximum traffic demand. In addition, input and output data can be defined through the interface which is created in C++ Builder programming language.