recurrent neural network based ber prediction for nlos channels
Bit error rate (BER) will enumerate the Channel State Information (CSI) in wireless network. Accurate and timely estimation of CSI will guarantee the Quality of Service (QoS) by admission control, inter and intra network handovers. Here the BER of time varying Non line of Sight (NLOS) channels are predicted by neural network system. The wireless channel is modeled as time variant nonlinear system. The neural network systems are the best suitable paradigm to predict and analyze the behaviors of time varying nonlinear system. In this framework BER is predicted by two different recurrent neural network architectures such as Recurrent Radial Basis Function Network (RRBFN) and Echo state network (ESN).
recurrent neural networks bit error rate channel state information quality of service modulation nonlinear time varying system