Development and analysis of downlink scheduling algorithm in LTE system with imperfect channel quality indicator
by S. Fouziya Sulthana; R. Nakkeeran
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 18, No. 1, 2021

Abstract: Long-term evolution (LTE) is the broadband technology, introduced by third generation partnership project (3GPP) to support variety of multimedia services. Scheduling in LTE plays an important role to meet the system performance targets. In this paper, a new scheduling method is proposed, which considers the achievable rate based on the estimated channel condition of user in the priority metric calculation. It is highly uncertain to have perfect channel quality indicator (CQI) report at scheduler end due to poor quality of the channel and the variation of current channel condition with that of received CQI report. So, the channel condition of the user is ascertained with imperfect CQI, where the Kalman filter is used to estimate the channel condition and effectively recover the correct CQI from imperfect CQI to improve the system performance. The proposed scheduling provides better performance in terms of throughput, delay and packet loss rate (PLR) when compared with the already proposed service based scheduler (SBS) method.

Online publication date: Wed, 23-Dec-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com