ICTACT Journal on Communication Technology

D. David Neels Pon Kumar ¹, K. Murugesan ²

Affiliations
1 Department of Electronics and Communication Engineering, Einstein College of Engineering, IN
2 Sree Sastha Institute of Engineering and Technology, IN

Abstract

Interest in broadband wireless access (BWA) has been growing due to increased user mobility and the need for data access at all times. IEEE 802.16e based WiMAX networks promise the best available quality of experience for mobile data service users. WiMAX networks incorporate several Quality of Service (QoS) mechanisms at the Media Access Control (MAC) level for guaranteed services for multimedia viz. data, voice and video. The problem of assuring QoS is how to allocate available resources among users to meet the QoS criteria such as delay, delay jitter, fairness and throughput requirements. IEEE standard does not include a standard scheduling mechanism and leaves it for various implementer differentiations. Although a lot of the real-time and non real-time packet scheduling schemes has been proposed, it needs to be modified to apply to Mobile WiMAX system that supports five kinds of service classes. In this paper, we propose a novel Priority based Scheduling scheme that uses Artificial Intelligence to support various services by considering the QoS constraints of each class. The simulation results show that slow mobility does not affect the performances and faster mobility and the increment in users beyond a particular load have their say in defining average throughput, average per user throughput, fairness index, average end to end delay and average delay jitter. Nevertheless the results are encouraging that the proposed scheme provides QoS support for each class efficiently.

Keywords

WiMAX, QoS, Fuzzy Neural Networks Based Scheduling Algorithm, Multimedia Transmissions, Media Access Control and Mobility.

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D. David Neels Pon Kumar ¹, K. Murugesan ², S. Raghavan ³

Affiliations
1 Department of Electronics and Communication Engineering, Sardar Raja College of Engineering, Tirunelveli, IN
2 Bharathiyar Institute of Engineering for women, Attur, IN
3 Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirapalli, IN

Abstract

During the last few years, users all over the world have become more and more familiar to the availability of broadband access. When users want broadband Internet service, they are generally restricted to a DSL (Digital Subscribers Line), or cable-modem-based connection. Proponents are advocating worldwide interoperability for microwave access (WiMAX), a technology based on an evolving standard for point-to multipoint wireless networking. Scheduling algorithms that support Quality of Service (QoS) differentiation and guarantees for wireless data networks are crucial to the deployment of broadband wireless networks. The performance affecting parameters like fairness, bandwidth allocation, throughput, latency are studied found out that none of the conventional algorithms perform effectively for both fairness and bandwidth allocation simultaneously. Hence it is absolutely essential for an efficient scheduling algorithm with a better trade off for these two parameters. So we are proposing a novel Scheduling Algorithm using Fuzzy logic and Artificial neural networks 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

Fuzzy Logic, Artificial Neural Networks, Priority, Scheduling Algorithms, WiMAX.

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