1. A three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller apparatus for a 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 a 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 a second layer, comprising a second ANFIS controller, a bit error rate (BER) estimator and a signal-to-interference and noise ratio (SINR) estimator, for minimizing the transmit power; and an ANFIS interference controller (AIC) in a third layer, comprising a third ANFIS controller and a direction of arrival (DOA) estimator, for minimizing the interference power; wherein, said three layer cascade ANFIS based intelligent controller apparatus is connected to the mobile wireless network for maximizing the average throughput, minimizing the transmit power, and minimizing the interference for multimedia services, by autonomously controlling 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 a transceiver, each estimator is unique to its respective controller.