Masli, Amal Abulgasim and Ahmed, Falah Y. H. and Mansoor, Ali Mohamed (2022) QoS-aware scheduling algorithm enabling video services in LTE networks. Computers, 11 (5). ISSN 2073-431X, DOI https://doi.org/10.3390/computers11050077.
Full text not available from this repository.Abstract
The Long-Term Evolution (LTE) system was a result of the 3rd-Generation Partnership Project (3GPP) to assure Quality-of-Service (QoS) performance pertaining to non-real-time and realtime services. An effective design with regards to resource allocation scheduling involves core challenges to realising a satisfactory service in an LTE system, particularly with the growing demand for network applications. The continuous rise in terms of the number of network users has resulted in impacts on the performance of networks, which also creates resource allocation issues when performing downlink scheduling in an LTE network. This research paper puts forward a review of optimisation pertaining packet scheduling performance through the LTE downlink system by introducing a new downlink-scheduling algorithm for serving video application through LTE culler networks, and also accounts for QoS needs and channel conditions. A comparison of the recommended algorithms’ performances was made with regards to delay, throughput, PLR, and fairness by utilising the LTE-SIM simulator for video flow. On the basis of the outcomes obtained, the algorithms recommended in this research work considerably enhance the efficacy of video streaming compared against familiar LTE algorithms. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | Downlink scheduling; EXPRule; Jitter; LTE network; QoS; Video streaming |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Computer Science & Information Technology > Department of Software Engineering |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 08 Apr 2025 04:47 |
Last Modified: | 08 Apr 2025 04:47 |
URI: | http://eprints.um.edu.my/id/eprint/43764 |
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