Optimization in Wideband Code-Division Multiple Access Systems with Genetic Algorithm-Based Discrete Frequency Planning

Abstract

One of the most serious problems is how the limited number of requencies (carriers) allocated to operators in broadband code division multiple access systems can be distributed to the base station cells in a way that captures the least interference value. This frequency planning is generally used for 2G network. In accordance with its technology, 3.5G systems are defined as interference independent. However, in this study, by applying GA algorithm for frequency planning in Wideband Code Division Multiple Access Systems (WCDMA-3.5G-3.75G) and by trying to obtain the best frequency plan, it was analyzed how the change occurred as a result of this planning. Actual system information was used in the study. Consequently, it was observed that GA decreased the fitness value of 268000 to 53999 levels according to the current plan working in the field with 1% mutation and 80% crossing rate and an improvement of 79% was achieved. Consequently, on the contrary of what is explained theoretically, it is seen that with a better frequency plan, better quality service continuity is provided in cases where interference is reduced.