1. A three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller scheme and device for mobile wireless network to produce the maximum network capacity, maximum average throughput, minimum transmit power and interference for multimedia call services, comprising: an ANFIS rate controller (ARC) in the first network layer, comprising a first ANFIS controller, a traffic performance estimator, a new call origination rate estimator and a user speed estimator, for maximizing the average throughput of the mobile wireless network; an ANFIS power controller (APC) in the second layer, comprising a second ANFIS controller, a BER estimator and a SINR estimator, for minimizing the transmit power; and an ANFIS interference controller (AIC) in the third layer, comprising a third ANFIS controller and a DOA estimator, for minimizing the interference power; wherein, it can autonomously control the assignments of transmission data rate, transmit power and antenna null according to the measured network traffic performance, traffic load, user speed, inter-cell interference power, bit error rate (BER) and signal-to-interference-and-noise ratio (SINR) of the transceiver, so that the mobile wireless network can produce the maximum average throughput, minimum transmit power and interference for multimedia call services.