Loading

Optimized Uplink Scheduling Model through Novel Feedback Architecture for Wimax Network
Mahesh D S1, Chandramouli H2, Sanjay R Chitnis3

1Mahesh D S, Assistant Professor, Dept. of CSE, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore.
2Chandramouli H, Professor & Head, Dept. of CSE, East Point College of Engineering, Bangalore.
3Sanjay R Chitnis, Professor & Director, Dept. of CSE, Dayananda Sagar University, Bangalore.

Manuscript received on October 12, 2019. | Revised Manuscript received on 21 October, 2019. | Manuscript published on November 10, 2019. | PP: 1353-1359 | Volume-9 Issue-1, November 2019. | Retrieval Number: L38351081219/2019©BEIESP | DOI: 10.35940/ijitee.L3835.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm.
Keywords: Wi-MaX, Scheduling, QoE, MUS, Feedback.
Scope of the Article: Network Architectures