Simulation of packet scheduling in cognitive long term evolution-advanced

Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promi...

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Main Authors: Mansor, Mohama 'Ismat Hafizi, Mohd. Ramli, Huda Adibah, Asnawi, Ani Liza, Mohd Isa, Farah Nadia
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science (IAES) 2017
Subjects:
Online Access:http://irep.iium.edu.my/60193/
http://irep.iium.edu.my/60193/
http://irep.iium.edu.my/60193/1/10035-12453-1-PB.pdf
http://irep.iium.edu.my/60193/7/Simulation%20of%20packet%20scheduling%20in%20cognitive%20long%20term%20evolution-advanced.pdf
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recordtype eprints
spelling iium-601932018-03-12T07:13:41Z http://irep.iium.edu.my/60193/ Simulation of packet scheduling in cognitive long term evolution-advanced Mansor, Mohama 'Ismat Hafizi Mohd. Ramli, Huda Adibah Asnawi, Ani Liza Mohd Isa, Farah Nadia TK5101 Telecommunication. Including telegraphy, radio, radar, television Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A. Institute of Advanced Engineering and Science (IAES) 2017-11-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60193/1/10035-12453-1-PB.pdf application/pdf en http://irep.iium.edu.my/60193/7/Simulation%20of%20packet%20scheduling%20in%20cognitive%20long%20term%20evolution-advanced.pdf Mansor, Mohama 'Ismat Hafizi and Mohd. Ramli, Huda Adibah and Asnawi, Ani Liza and Mohd Isa, Farah Nadia (2017) Simulation of packet scheduling in cognitive long term evolution-advanced. Indonesian Journal of Electrical Engineering and Computer Science, 8 (2). pp. 533-540. ISSN 2502-4752 E-ISSN 2502-4760 10.11591/ijeecs.v8.i2.pp533-540
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Mansor, Mohama 'Ismat Hafizi
Mohd. Ramli, Huda Adibah
Asnawi, Ani Liza
Mohd Isa, Farah Nadia
Simulation of packet scheduling in cognitive long term evolution-advanced
description Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A.
format Article
author Mansor, Mohama 'Ismat Hafizi
Mohd. Ramli, Huda Adibah
Asnawi, Ani Liza
Mohd Isa, Farah Nadia
author_facet Mansor, Mohama 'Ismat Hafizi
Mohd. Ramli, Huda Adibah
Asnawi, Ani Liza
Mohd Isa, Farah Nadia
author_sort Mansor, Mohama 'Ismat Hafizi
title Simulation of packet scheduling in cognitive long term evolution-advanced
title_short Simulation of packet scheduling in cognitive long term evolution-advanced
title_full Simulation of packet scheduling in cognitive long term evolution-advanced
title_fullStr Simulation of packet scheduling in cognitive long term evolution-advanced
title_full_unstemmed Simulation of packet scheduling in cognitive long term evolution-advanced
title_sort simulation of packet scheduling in cognitive long term evolution-advanced
publisher Institute of Advanced Engineering and Science (IAES)
publishDate 2017
url http://irep.iium.edu.my/60193/
http://irep.iium.edu.my/60193/
http://irep.iium.edu.my/60193/1/10035-12453-1-PB.pdf
http://irep.iium.edu.my/60193/7/Simulation%20of%20packet%20scheduling%20in%20cognitive%20long%20term%20evolution-advanced.pdf
first_indexed 2023-09-18T21:25:19Z
last_indexed 2023-09-18T21:25:19Z
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