Enhanced exponential rule scheduling algorithm for real-time traffic in LTE network

Citation

Yghoubi, Yaqoob J.I.A. and Pang, Wai Leong and Wong, Sew Kin and Chan, Kah Yoong (2020) Enhanced exponential rule scheduling algorithm for real-time traffic in LTE network. International Journal of Electrical and Computer Engineering (IJECE), 10 (2). pp. 1993-2002. ISSN 2088-8708

[img] Text
13734
Restricted to Repository staff only

Download (18kB)

Abstract

Nowadays, mobile communication is growing rapidly and become an everyday commodity. The vast deployment of real-time services in Long Term Evolution (LTE) network demands for the scheduling techniques that support the Quality of Service (QoS) requirements. LTE is designed and implemented to fulfill the users’ QoS. However, 3GPP does not define the specific scheduling technique for resource distribution which leads to vast research and development of the scheduling techniques. In this context, a review of the recent scheduling algorithm is reported in the literature. These schedulers in the literature cause high Packet Loss Rate (PLR), low fairness, and high delay. To cope with these disadvantages, we propose an enhanced EXPRULE (eEXPRULE) scheduler to improve the radio resource utilization in the LTE network. Extensive simulation works are carried out and the proposed scheduler provides a significant performance improvement for video application without sacrificing the VoIP performance. The eEXPRULE scheduler increases video throughput, spectrum efficiency, and fairness by 50%, 13%, and 11%, respectively, and reduces the video PLR by 11%.

Item Type: Article
Uncontrolled Keywords: Long Term Evolution (LTE), Quality of Service (QoS)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 14 Dec 2020 16:23
Last Modified: 14 Dec 2020 16:23
URII: http://shdl.mmu.edu.my/id/eprint/7940

Downloads

Downloads per month over past year

View ItemEdit (login required)