Neural network control for wireless networks with nonlinear channel fading

In cellular mobile wireless networks, nonlinear channel fading is always a critical factor which will scientifically deteriorate the Quality of Service (QoS) for the users. However, it is difficult to describe the nonlinear channel fading by precise mathematical model because of its complexity. So, the control of wireless networks becomes an especial tough work. In this paper, a power and rate control system model is established which considers general nonlinearity of the channel fading which is seldom considered in the literature. And a neural network controller is proposed. The effectiveness and feasibility of the proposed controller are verified by simulation results. The presented method yields superior performance with shorter transient time and higher signal-to-interference-plus-noise ratio (SINR) than traditional predictive control scheme.