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, Mohamad 'Ismat Hafizi (Author), Ramli, Huda Adibah Mohd (Author), Asnawi, Ani Liza (Author), Isa, Farah Nadia Mohd (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2017-11-01.
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LEADER 02285 am a22003253u 4500
001 ijeecs10035_7658
042 |a dc 
100 1 0 |a Mansor, Mohamad 'Ismat Hafizi  |e author 
100 1 0 |e contributor 
700 1 0 |a Ramli, Huda Adibah Mohd  |e author 
700 1 0 |a Asnawi, Ani Liza  |e author 
700 1 0 |a Isa, Farah Nadia Mohd  |e author 
245 0 0 |a Simulation of Packet Scheduling in Cognitive Long Term Evolution-Advanced 
260 |b Institute of Advanced Engineering and Science,   |c 2017-11-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10035 
520 |a 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. 
540 |a Copyright (c) 2017 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690
690 |a Cognitive LTE-A, Packet Scheduling, Quality of Service, Multimedia 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 8, No 2: November 2017; 533-540 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v8.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10035/7658 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10035/7658  |z Get fulltext