An enhanced packet scheduling algorithm for the downlink cognitive long term evolution-advanced. IIUM Engineering Journal, 21 (1). pp. 51-60. ISSN 1511-788X (2020)
Abstract
A packet scheduling algorithm known as Enhanced Maximum-Largest Weighted Delay First (EM-LWDF) is proposed in this paper. It aims to maximize the number of Real Time (RT) and Non Real Time (NRT) users that meet their desired Quality of Service (QoS) in the cognitive Long Term Evolution-Advanced (LTE-A). This cognitive LTE-A allows its Component Carriers (CCs) to be combined with licensed CCs from another system. This enables the LTE-A to further expand the available bandwidth for packet transmission. The EM-LWDF algorithm decides the priority of each user on the basis of the desired QoS of each packet, the urgency of each packet, channel quality and the average throughput. The potential of this algorithm is validated via computer simulation where it is able to simultaneously maximize more users that meet their desired QoS in realistic RT and NRT multimedia of the downlink cognitive LTE-A.
| Item Type: | Article |
|---|---|
| Keywords: | Maximum-largest weighted delay first (M-LWDF), Packet scheduling, Long term evolution-advanced, Quality of service, Real time, Non-real time |
| Taxonomy: | By Subject > College of Engineering > Electrical Engineering > Communication By Subject > College of Engineering > Electrical Engineering > Computer |
| Local Content Hub: | Subjects > College of Engineering |
| Depositing User: | Eza Eliana Abdul Wahid |
| Date Deposited: | 13 Dec 2022 08:17 |
| Last Modified: | 13 Dec 2022 08:17 |
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