Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced

Long Term Evolution-Advanced experiences an increasing demand for more radio spectrums to support the escalating demands of Real-Time (RT) and Non Real-Time (NRT) multimedia contents. However most usable radio spectrums have already been licensed. A number of studies reported that some portions of l...

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Main Authors: Mohd Ramli, Huda Adibah, Mohd. Isa, Farah Nadia, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Azman, Amelia Wong
Format: Proceeding Paper
Language:English
English
Published: IEEE 2019
Subjects:
Online Access:http://irep.iium.edu.my/74759/
http://irep.iium.edu.my/74759/7/74759%20Urgency-aware%20scheduling%20algorithm.pdf
http://irep.iium.edu.my/74759/8/74759%20Urgency-aware%20scheduling%20algorithm%20SCOPUS.pdf
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author Mohd Ramli, Huda Adibah
Mohd. Isa, Farah Nadia
Asnawi, Ani Liza
Jusoh, Ahmad Zamani
Azman, Amelia Wong
author_facet Mohd Ramli, Huda Adibah
Mohd. Isa, Farah Nadia
Asnawi, Ani Liza
Jusoh, Ahmad Zamani
Azman, Amelia Wong
author_sort Mohd Ramli, Huda Adibah
building IIUM Repository
collection Online Access
description Long Term Evolution-Advanced experiences an increasing demand for more radio spectrums to support the escalating demands of Real-Time (RT) and Non Real-Time (NRT) multimedia contents. However most usable radio spectrums have already been licensed. A number of studies reported that some portions of licensed radio spectrums are underutilized. To support the demand for more radio spectrums, cognitive LTE-Advanced that aggregates the LTE-Advanced current radio spectrums with the underutilized licensed radio spectrums from another system via cognitive radio is introduced. Given that packet scheduling is important in meeting the required Quality of Service (QoS) of multimedia contents, this paper proposes an Urgency-Aware Scheduling (UAS) algorithm for use in the downlink cognitive LTE-Advanced. The UAS algorithm takes the required QoS of a user, urgency of each packet, average achievable data rate and average throughput when selecting users to receive packets. Simulation results demonstrate that the proposed algorithm can significantly optimize the number of cognitive LTE-Advanced users with satisfactory RT QoS whilst having acceptable QoS for the NRT packets
first_indexed 2025-11-14T17:34:02Z
format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:34:02Z
publishDate 2019
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling iium-747592022-07-22T08:00:52Z http://irep.iium.edu.my/74759/ Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced Mohd Ramli, Huda Adibah Mohd. Isa, Farah Nadia Asnawi, Ani Liza Jusoh, Ahmad Zamani Azman, Amelia Wong TK5101 Telecommunication. Including telegraphy, radio, radar, television Long Term Evolution-Advanced experiences an increasing demand for more radio spectrums to support the escalating demands of Real-Time (RT) and Non Real-Time (NRT) multimedia contents. However most usable radio spectrums have already been licensed. A number of studies reported that some portions of licensed radio spectrums are underutilized. To support the demand for more radio spectrums, cognitive LTE-Advanced that aggregates the LTE-Advanced current radio spectrums with the underutilized licensed radio spectrums from another system via cognitive radio is introduced. Given that packet scheduling is important in meeting the required Quality of Service (QoS) of multimedia contents, this paper proposes an Urgency-Aware Scheduling (UAS) algorithm for use in the downlink cognitive LTE-Advanced. The UAS algorithm takes the required QoS of a user, urgency of each packet, average achievable data rate and average throughput when selecting users to receive packets. Simulation results demonstrate that the proposed algorithm can significantly optimize the number of cognitive LTE-Advanced users with satisfactory RT QoS whilst having acceptable QoS for the NRT packets IEEE 2019-06-27 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/74759/7/74759%20Urgency-aware%20scheduling%20algorithm.pdf application/pdf en http://irep.iium.edu.my/74759/8/74759%20Urgency-aware%20scheduling%20algorithm%20SCOPUS.pdf Mohd Ramli, Huda Adibah and Mohd. Isa, Farah Nadia and Asnawi, Ani Liza and Jusoh, Ahmad Zamani and Azman, Amelia Wong (2019) Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced. In: 2019 IEEE 89th Vehicular Technology Conference (VTC Spring), 28 April-1st May 2019, Kuala Lumpur. https://ieeexplore.ieee.org/document/8746475 10.1109/VTCSpring.2019.8746475
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Mohd Ramli, Huda Adibah
Mohd. Isa, Farah Nadia
Asnawi, Ani Liza
Jusoh, Ahmad Zamani
Azman, Amelia Wong
Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
title Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
title_full Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
title_fullStr Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
title_full_unstemmed Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
title_short Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
title_sort urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
url http://irep.iium.edu.my/74759/
http://irep.iium.edu.my/74759/
http://irep.iium.edu.my/74759/
http://irep.iium.edu.my/74759/7/74759%20Urgency-aware%20scheduling%20algorithm.pdf
http://irep.iium.edu.my/74759/8/74759%20Urgency-aware%20scheduling%20algorithm%20SCOPUS.pdf