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...
Main Authors: | , , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2019
|
Subjects: | |
Online Access: | 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 |
id |
iium-74759 |
---|---|
recordtype |
eprints |
spelling |
iium-747592019-10-25T07:52:28Z 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 Conference or Workshop Item 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 |
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 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 |
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 |
format |
Conference or Workshop Item |
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 |
title |
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_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_sort |
urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced |
publisher |
IEEE |
publishDate |
2019 |
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 |
first_indexed |
2023-09-18T21:45:48Z |
last_indexed |
2023-09-18T21:45:48Z |
_version_ |
1777413441512800256 |