Quality-driven scheduling for long-term evolution system
This paper proposes a novel packet scheduling algorithm that extends Opportunistic and Delay Sensitive (ODS) algorithm to simultaneously support Guaranteed Bit Rate (GBR) and Non-GBR (NGBR) services over downlink Long Term Evolution (LTE) system. The proposed algorithm utilises Channel Qual...
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Inderscience Enterprises Limited
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iium-65592017-08-14T03:55:30Z http://irep.iium.edu.my/6559/ Quality-driven scheduling for long-term evolution system Mohd. Ramli, Huda Adibah Sandrasegaran, Kumbesan Patachaianand, Rachod TK5101 Telecommunication. Including telegraphy, radio, radar, television This paper proposes a novel packet scheduling algorithm that extends Opportunistic and Delay Sensitive (ODS) algorithm to simultaneously support Guaranteed Bit Rate (GBR) and Non-GBR (NGBR) services over downlink Long Term Evolution (LTE) system. The proposed algorithm utilises Channel Quality Information (CQI), average throughput, type of services, packet delay and buffer information when allocating and assigning the available Radio Resource Units (RRUs) among the users. It is demonstrated that the proposed algorithm is more efficient in terms of maximising throughput and simultaneously satisfying the Quality of Service (QoS) requirements of GBR and NGBR services at acceptable levels Inderscience Enterprises Limited 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6559/1/IJMC_9%285%29.pdf application/pdf en http://irep.iium.edu.my/6559/4/6559_Quality-driven%20scheduling_WOS.pdf application/pdf en http://irep.iium.edu.my/6559/5/6559_Quality-driven%20scheduling_SCOPUS.pdf Mohd. Ramli, Huda Adibah and Sandrasegaran, Kumbesan and Patachaianand, Rachod (2011) Quality-driven scheduling for long-term evolution system. International Journal of Mobile Communications, 9 (5). pp. 441-457. ISSN 1470-949X http://www.inderscience.com/search/index.php?action=record&rec_id=42453 10.1504/IJMC.2011.042453 |
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International Islamic University Malaysia |
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collection |
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language |
English English English |
topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Mohd. Ramli, Huda Adibah Sandrasegaran, Kumbesan Patachaianand, Rachod Quality-driven scheduling for long-term evolution system |
description |
This paper proposes a novel packet scheduling algorithm that
extends Opportunistic and Delay Sensitive (ODS) algorithm to simultaneously
support Guaranteed Bit Rate (GBR) and Non-GBR (NGBR) services over
downlink Long Term Evolution (LTE) system. The proposed algorithm utilises
Channel Quality Information (CQI), average throughput, type of services,
packet delay and buffer information when allocating and assigning the
available Radio Resource Units (RRUs) among the users. It is demonstrated
that the proposed algorithm is more efficient in terms of maximising
throughput and simultaneously satisfying the Quality of Service (QoS)
requirements of GBR and NGBR services at acceptable levels |
format |
Article |
author |
Mohd. Ramli, Huda Adibah Sandrasegaran, Kumbesan Patachaianand, Rachod |
author_facet |
Mohd. Ramli, Huda Adibah Sandrasegaran, Kumbesan Patachaianand, Rachod |
author_sort |
Mohd. Ramli, Huda Adibah |
title |
Quality-driven scheduling for long-term evolution system |
title_short |
Quality-driven scheduling for long-term evolution system |
title_full |
Quality-driven scheduling for long-term evolution system |
title_fullStr |
Quality-driven scheduling for long-term evolution system |
title_full_unstemmed |
Quality-driven scheduling for long-term evolution system |
title_sort |
quality-driven scheduling for long-term evolution system |
publisher |
Inderscience Enterprises Limited |
publishDate |
2011 |
url |
http://irep.iium.edu.my/6559/ http://irep.iium.edu.my/6559/ http://irep.iium.edu.my/6559/ http://irep.iium.edu.my/6559/1/IJMC_9%285%29.pdf http://irep.iium.edu.my/6559/4/6559_Quality-driven%20scheduling_WOS.pdf http://irep.iium.edu.my/6559/5/6559_Quality-driven%20scheduling_SCOPUS.pdf |
first_indexed |
2023-09-18T20:15:34Z |
last_indexed |
2023-09-18T20:15:34Z |
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1777407763979173888 |