TY  - JOUR
T1  - HMM and Fuzzy Based Scheduling and Resource Allocation for Downlink
Traffic in WiMAX OFDMA Networks
AU - Valarmathi, K. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 10
SP  - 1596
EP  - 1606
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1596.1606
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1596.1606
KW  - WiMAX
KW  -OFDMA
KW  -networks
KW  -HMM
KW  -QoS
AB  - 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.
ER  -