Development of Hybrid Scheduling in WiMAX using Intelligent Neural Network

Authors

  • Ravinder Singh Department of Electronics and Communication Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab (India)
  • Simarpreet Kau Department of Electronics and Communication Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab (India),

Keywords:

WiMAX, IEEE 802.16, Scheduling, First Come First Serve (FCFS), Shortest Job First (SJF), Priority based Scheduling and Neural Network. I. INTRO

Abstract

Worldwide Interoperability for Microwave Access (WiMAX) networks were expected to be the main
Broadband Wireless Access (BWA) technology that provided several services such as data, voice, and video services
including different classes of Quality of Services (QoS), which in turn were defined by IEEE 802.16 standard. The
main objective of the broadband wireless technologies is to ensure the end to end Quality of Service (QoS) for service
classes. WiMAX is a revolution in wireless networks which could support real time multimedia services. In order to
provide QoS support and efficient usage of system resources an intelligent scheduling algorithm is needed. The
design of detailed scheduling algorithm is a major focus for researchers and service providers. In this paper, we
discuss various types of Scheduling algorithms and Compare their performance in terms of Average Waiting Time (AWT)
and Average Turnaround Time (ATT) and we propose a scheduling algorithm that is the combination of the Shortest Job
First (SJF) scheduling algorithm, Priority based scheduling algorithm and neural network which improve the performance of
the system.

Published

2014-08-25

How to Cite

Ravinder Singh, & Simarpreet Kau. (2014). Development of Hybrid Scheduling in WiMAX using Intelligent Neural Network. International Journal of Advance Engineering and Research Development (IJAERD), 1(8), 26–39. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/177

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