Bayesian information criterion in LTE downlink scheduling algorithm

Khairul Anwar, Kuokkwee Wee, Wooiping Cheah, Yityin Wee

Research output: Journal PublicationArticlepeer-review

Abstract

Real time multimedia has been a major trend in people daily life. With the rise of demands in faster internet connection for multimedia purpose, Long Term Evolution (LTE) has been used as a medium of transmission to fulfil these demands. Still, the need of handling multiple simultaneous multimedia transmission, either voice or audio is a challenge that LTE is facing. Many proportional fairness scheduling algorithms have been implemented in LTE such as Modified Largest Weighted Delay First (M-LWDF) that can handle up to 90 users in a single cell simultaneously with good bandwidth distribution. Yet there is still room for improvement as the allocation for simultaneous transmission of video and VoIP are affected by other best effort flows. Best effort flow such as internet surfing does not require a huge amount of bandwidth allocation whereas a sufficient amount from the best effort bandwidth allocation for best effort can be reallocated to video and VoIP flows. Hence, an adaptive algorithm named Criterion-Based Algorithm (C-B), Criterion-Based Proportional Fairness (C-BPF) and Criterion-Based Modified Largest Weighted Delay First (C-BMLWDF) based on Bayesian Information Criterion (BIC) had been proposed by the author. The result simulation of the solution had shown a better performance in throughput, delay, packet loss and fairness index of both video and VoIP transmission with a respective allocation for the best effort flow.

Original languageEnglish
Pages (from-to)650-660
Number of pages11
JournalInternational Arab Journal of Information Technology
Volume15
Issue number4
Publication statusPublished - Jul 2018
Externally publishedYes

Keywords

  • Bayesian information criterion
  • Criterion-based
  • Downlink scheduling
  • LTE
  • Quality of service

ASJC Scopus subject areas

  • Computer Science (all)

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