Mixed Approach Development in WiMAX Scheduling using Intelligent Neural Network to Improve Time Quantum
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 8, August 2014

Mixed Approach Development in WiMAX Scheduling using Intelligent Neural Network to Improve Time Quantum

Ravinder Singh, Simarpreet Kaur

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 scheduling algorithms and Compare their performance in terms of Average Waiting Time (AWT) and Average Turnaround Time (ATT) by taking the random number of processes 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.

Keywords: WiMAX, IEEE 80216, Scheduling, First Come First Serve FCFS, Shortest Job First SJF, Priority based Scheduling and Neural Network

Edition: Volume 3 Issue 8, August 2014

Pages: 1274 - 1279

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How to Cite this Article?

Ravinder Singh, Simarpreet Kaur, "Mixed Approach Development in WiMAX Scheduling using Intelligent Neural Network to Improve Time Quantum", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2015681, Volume 3 Issue 8, August 2014, 1274 - 1279

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