Abstract: In WiMAX OFDMA networks, the existing resource allocation and scheduling techniques results in more overhead and delay. In order to overcome this problem, in this study, we propose HMM and fuzzy based scheduling and resource allocation for Downlink Traffic in WiMAX OFDMA networks. In this technique, new users are admitted after checking the predicted free slots using Hidden Markov Model (HMM) against the estimated slots of each user. Then the exact number of slots for each user is estimated using fuzzy logic inference considering QoS requirement such as bandwidth, delay and transmission rate of users over each subchannel. The scheduling of slots on each sub channel level is performed based on user priority which is estimated again using fuzzy logic inference considering the channel quality, queue length and urgency factor. By simulation results, we show that the proposed technique enhances the network throughout and minimizes the overhead.