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Neural Networks Based QoS Scheduling in WiMAX


Affiliations
1 ECE Department, at SRCE, Alangulam, Tirunelveli, India
2 Bharathiar Institute of Engg. For women, Attur, Chinna Salem, India
3 IIT, Delhi, India
4 ECE Dept. at TCE, Madurai, India
     

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Wireless Interoperability for Microwave Access (WiMAX) is one of the most familiar broadband wireless access technologies that support multimedia transmission. IEEE802.16 Medium Access Control (MAC) covers a large area for bandwidth allocation and QoS mechanisms for various types of applications. Nevertheless, the standard lacks a MAC scheduling algorithm that has a multi-dimensional objective of satisfying QoS requirements of the users, maximizing channel utilization while ensuring fairness among users. So we are proposing a novel Priority based Scheduling Algorithm using Fuzzy logic and Artificial neural networks (ANN) that addresses these aspects simultaneously. The initial results show that a fair amount of fairness is attained while keeping the priority intact. Results also show that maximum channel utilization is achieved with a negligible increment in processing time.

Keywords

Artificial Neural Networks, Fuzzy Logic, Fairness, QoS, Scheduling Algorithms.
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  • Neural Networks Based QoS Scheduling in WiMAX

Abstract Views: 151  |  PDF Views: 2

Authors

D. David Neels Pon Kumar
ECE Department, at SRCE, Alangulam, Tirunelveli, India
K. Murugesan
Bharathiar Institute of Engg. For women, Attur, Chinna Salem, India
S. Raghavan
IIT, Delhi, India
M. Suganthi
ECE Dept. at TCE, Madurai, India

Abstract


Wireless Interoperability for Microwave Access (WiMAX) is one of the most familiar broadband wireless access technologies that support multimedia transmission. IEEE802.16 Medium Access Control (MAC) covers a large area for bandwidth allocation and QoS mechanisms for various types of applications. Nevertheless, the standard lacks a MAC scheduling algorithm that has a multi-dimensional objective of satisfying QoS requirements of the users, maximizing channel utilization while ensuring fairness among users. So we are proposing a novel Priority based Scheduling Algorithm using Fuzzy logic and Artificial neural networks (ANN) that addresses these aspects simultaneously. The initial results show that a fair amount of fairness is attained while keeping the priority intact. Results also show that maximum channel utilization is achieved with a negligible increment in processing time.

Keywords


Artificial Neural Networks, Fuzzy Logic, Fairness, QoS, Scheduling Algorithms.