Loading

A CQI Based Novel Shared Channel Downlink Scheduler for LTE Networks
Mandeep Singh Ramdev1, Rohit Bajaj2, Ruchika Gupta3

1Mandeep Singh Ramdev, Research Scholar, Department of CSE, Chandigarh University, (Punjab) India.
2Dr. Rohit Bajaj, Associate Professor, Department of CSE, Chandigarh University, (Punjab) India.
3Dr. Ruchika Gupta, Associate Professor, Department of CSE, Chandigarh University, (Punjab) India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 4422-4426 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8971088619/2019©BEIESP | DOI: 10.35940/ijeat.F8971.088619
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Long Terrn Evolution (LTE) can be called as the new generation of High Speed Cellular Communication. LTE networks serves as back bone for 4G networks delivering high data transmission speeds and support for Qualisty of Service (QoS). It also ensures the availability of high speed connection, HD Calling, more security and extended support for streaming of HD multimedia content which includes audio and video content. With this much development in the field of mobile communication, another term was coined Qo E (Quality of experience) which refers to the overall degree of acceptability of the multimedia content as perceived by the end users. In this paper we introduce a CQI based algorithm to improve the overall Qo E while it is being applied on downlink scheduling. Simulation runs proves that CQI has better results as compared to other algorithms based upon parameters such as throughput, Sn R and fairness.
Keywords: Qo E, Scheduling, CQI, LTE