QOS downlink schedulers in LTE towards 5G network
LTE is expected to be the dominant system used by operators in these years due to its promising solutions for achieving high capacity and data rate. However, LTE packet scheduling and distributing resources among users is still the main challenge due to unfairness and low performance which occur whe...
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iium-490162018-06-12T03:49:01Z http://irep.iium.edu.my/49016/ QOS downlink schedulers in LTE towards 5G network Al-Sakkaf, Ahmed Gaafar Abdullah, Khaizuran Khan, Sheroz TK5101 Telecommunication. Including telegraphy, radio, radar, television LTE is expected to be the dominant system used by operators in these years due to its promising solutions for achieving high capacity and data rate. However, LTE packet scheduling and distributing resources among users is still the main challenge due to unfairness and low performance which occur when allocating resources to users. In this paper, the above mentioned challenges are studied and analysed, focusing on three schedulers; they are Proportional Fair (PF), Maximum Throughput (MT) and Blind equal throughput (BET). These methods do not provide QoS to users that use different types of traffic flows. The proposed algorithm in this paper is to modify the PF scheduler in order to fulfil the QoS criteria maximizing throughput and minimizing the delay for real time service. VoIP and video have been selected as real time traffic and best effort as non-real time. LTE-Sim simulator is used to compare between the mentioned schedulers in terms of throughput, delay, packet loss ratio and spectrum efficiency. 2015-11-25 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/49016/1/micc2015_QoS_schedulers_5G_LTE.pdf Al-Sakkaf, Ahmed Gaafar and Abdullah, Khaizuran and Khan, Sheroz (2015) QOS downlink schedulers in LTE towards 5G network. In: The 12th IEEE Malaysia International Conference on Communications (MICC 2015), 23-25 November 2015, Kuching, Sarawak. |
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English |
topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Al-Sakkaf, Ahmed Gaafar Abdullah, Khaizuran Khan, Sheroz QOS downlink schedulers in LTE towards 5G network |
description |
LTE is expected to be the dominant system used by operators in these years due to its promising solutions for achieving high capacity and data rate. However, LTE packet scheduling and distributing resources among users is still the main challenge due to unfairness and low performance which occur when allocating resources to users. In this paper, the above
mentioned challenges are studied and analysed, focusing on three schedulers; they are Proportional Fair (PF), Maximum
Throughput (MT) and Blind equal throughput (BET). These methods do not provide QoS to users that use different types of traffic flows. The proposed algorithm in this paper is to modify the PF scheduler in order to fulfil the QoS criteria maximizing throughput and minimizing the delay for real time service. VoIP and video have been selected as real time traffic and best effort as non-real time. LTE-Sim simulator is used to compare between the mentioned schedulers in terms of throughput, delay, packet loss ratio and spectrum efficiency. |
format |
Conference or Workshop Item |
author |
Al-Sakkaf, Ahmed Gaafar Abdullah, Khaizuran Khan, Sheroz |
author_facet |
Al-Sakkaf, Ahmed Gaafar Abdullah, Khaizuran Khan, Sheroz |
author_sort |
Al-Sakkaf, Ahmed Gaafar |
title |
QOS downlink schedulers in LTE towards 5G
network |
title_short |
QOS downlink schedulers in LTE towards 5G
network |
title_full |
QOS downlink schedulers in LTE towards 5G
network |
title_fullStr |
QOS downlink schedulers in LTE towards 5G
network |
title_full_unstemmed |
QOS downlink schedulers in LTE towards 5G
network |
title_sort |
qos downlink schedulers in lte towards 5g
network |
publishDate |
2015 |
url |
http://irep.iium.edu.my/49016/ http://irep.iium.edu.my/49016/1/micc2015_QoS_schedulers_5G_LTE.pdf |
first_indexed |
2023-09-18T21:09:22Z |
last_indexed |
2023-09-18T21:09:22Z |
_version_ |
1777411148767821824 |