Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks
Real time applications with strict QoS like delay sensitive applications require an advanced technology to adopt them. This is where Long Term Evolution-Advanced (LTE-A) fulfills this requirement. With this ever evolving technology the need for improvements is required. Packet scheduling is one of t...
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Institute of Advanced Engineering and Science (IAES)
2018
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my.iium.irep.646252019-08-19T06:16:53Z http://irep.iium.edu.my/64625/ Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks Elsheikh, Elsheikh Mohamed Ahmed Habaebi, Mohamed Hadi Mohd Ramli, Huda Adibah Arafa, Mohammed H. A. Ahmed, Kazi Istiaque TK5101 Telecommunication. Including telegraphy, radio, radar, television Real time applications with strict QoS like delay sensitive applications require an advanced technology to adopt them. This is where Long Term Evolution-Advanced (LTE-A) fulfills this requirement. With this ever evolving technology the need for improvements is required. Packet scheduling is one of the important key features of LTE-A, where it dictates user selection and transmission of those user’s packets based on the priority of the users to reach the receiver correctly. Packet scheduling is one mean to achieve those QoS requirements that real-time applications require. Such algorithms are HARQ Aware Scheduling Algorithm (HAS), Retransmission Aware Proportional Fair Algorithm (RAPF), Chase Combining Based Max C/I Scheduling and Maximum- Largest WeightedDealy First algorithm (M-LWDF). In this paper, M-LWDF is one of the best algorithms in LTE-A which was chosen for further investigated to support QoS in high mobility environment. Packet Loss Ratio (PLR), and Mean User Throughput performance measures were used to validate the performance of M-LWDF algorithm against other algorithms using similar mobile environment. Simulation results indicate the capability of M-LWDF algorithm within the threshold of the performance measures against other benchmarks where it has demonstrated more efficiency to support and improve the performance of real-time multimedia traffic. Institute of Advanced Engineering and Science (IAES) 2018-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64625/1/453-1330-1-PB.pdf application/pdf en http://irep.iium.edu.my/64625/7/64625_Maximum-largest%20weighted%20delay%20first%20algorithm%20for%20heterogeneous%20traffic_scopus.pdf Elsheikh, Elsheikh Mohamed Ahmed and Habaebi, Mohamed Hadi and Mohd Ramli, Huda Adibah and Arafa, Mohammed H. A. and Ahmed, Kazi Istiaque (2018) Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 6 (2). pp. 190-199. ISSN 2089-3272 http://section.iaesonline.com/index.php/IJEEI/article/view/453/pdf 10.11591/ijeei.v6i2.453 |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Elsheikh, Elsheikh Mohamed Ahmed Habaebi, Mohamed Hadi Mohd Ramli, Huda Adibah Arafa, Mohammed H. A. Ahmed, Kazi Istiaque Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks |
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Real time applications with strict QoS like delay sensitive applications require an advanced technology to adopt them. This is where Long Term Evolution-Advanced (LTE-A) fulfills this requirement. With this ever evolving technology the need for improvements is required. Packet scheduling is one of the important key features of LTE-A, where it dictates user selection and transmission of those user’s packets based on the priority of the users to reach the receiver correctly. Packet scheduling is one mean to achieve those QoS requirements that real-time applications require. Such algorithms are HARQ Aware Scheduling Algorithm (HAS), Retransmission Aware Proportional Fair Algorithm (RAPF), Chase Combining Based Max C/I Scheduling and Maximum- Largest WeightedDealy First algorithm (M-LWDF). In this paper, M-LWDF is one of the best algorithms in LTE-A which was chosen for further investigated to support QoS in high mobility environment. Packet Loss Ratio (PLR), and Mean User Throughput performance measures were used to validate the performance of M-LWDF algorithm against other algorithms using similar mobile environment. Simulation results indicate the capability of M-LWDF algorithm within the threshold of the performance measures against other benchmarks where it has demonstrated more efficiency to support and improve the performance of real-time multimedia traffic. |
format |
Article |
author |
Elsheikh, Elsheikh Mohamed Ahmed Habaebi, Mohamed Hadi Mohd Ramli, Huda Adibah Arafa, Mohammed H. A. Ahmed, Kazi Istiaque |
author_facet |
Elsheikh, Elsheikh Mohamed Ahmed Habaebi, Mohamed Hadi Mohd Ramli, Huda Adibah Arafa, Mohammed H. A. Ahmed, Kazi Istiaque |
author_sort |
Elsheikh, Elsheikh Mohamed Ahmed |
title |
Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks |
title_short |
Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks |
title_full |
Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks |
title_fullStr |
Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks |
title_full_unstemmed |
Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks |
title_sort |
maximum-largest weighted delay first algorithm for heterogeneous traffic in 4g networks |
publisher |
Institute of Advanced Engineering and Science (IAES) |
publishDate |
2018 |
url |
http://irep.iium.edu.my/64625/1/453-1330-1-PB.pdf http://irep.iium.edu.my/64625/7/64625_Maximum-largest%20weighted%20delay%20first%20algorithm%20for%20heterogeneous%20traffic_scopus.pdf http://irep.iium.edu.my/64625/ http://section.iaesonline.com/index.php/IJEEI/article/view/453/pdf |
_version_ |
1643619724542607360 |
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13.18916 |