Performance Comparison of Power Control Methods That Use Neural Network and Fuzzy Inference System in CDMA

In the cellular communication applications of Code Division Multiple Access (CDMA) system, each user signal can be received in the different power levels in the input of the base station due to different distances of the users. In that case, signal of the user that is closer to the base station increases the communication errors of the far users. To solve this problem, open or closed loop power control system is used to make each user signal equals in the input of the base station. Power prediction and power control have been performed with various methods in the literature. In this study, two different methods will be investigated and will be compared with each other in terms of power control performance. The power at the output of the matched filter is predicted using neural network and fuzzy inference system, power control is realized according to the predicted values.