Channel prediction based power control in W-CDMA systems

Knowledge of the radio channel conditions help in improving the performance of the receiver as well as in maintaining the quality of service required by different applications supported by the third generation wireless systems. Power control is a method by which the power transmitted by each user is regulated in order to maintain the received signal to interference ratio above a threshold to maintain the QoS. This paper presents a neural network based channel predictor. The estimate obtained from the neural network along with the pilot assisted channel estimate is used to determine the power control step.