A novel LTE scheduling algorithm for green technology in smart grid

Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. I...

Full description

Bibliographic Details
Main Authors: Hindia, M.N., Reza, A.W., Noordin, K.A., Chayon, M.H.R.
Format: Article
Language:English
Published: Public Library of Science 2015
Subjects:
Online Access:http://eprints.um.edu.my/13749/1/A_Novel_LTE_Scheduling_Algorithm_for_Green_Technology_in_Smart.pdf
_version_ 1825720408902467584
author Hindia, M.N.
Reza, A.W.
Noordin, K.A.
Chayon, M.H.R.
author_facet Hindia, M.N.
Reza, A.W.
Noordin, K.A.
Chayon, M.H.R.
author_sort Hindia, M.N.
collection UM
description Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application's priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3, 7 and 9 better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively.
first_indexed 2024-03-06T05:34:42Z
format Article
id um.eprints-13749
institution Universiti Malaya
language English
last_indexed 2024-03-06T05:34:42Z
publishDate 2015
publisher Public Library of Science
record_format dspace
spelling um.eprints-137492017-07-04T07:53:04Z http://eprints.um.edu.my/13749/ A novel LTE scheduling algorithm for green technology in smart grid Hindia, M.N. Reza, A.W. Noordin, K.A. Chayon, M.H.R. T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application's priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3, 7 and 9 better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively. Public Library of Science 2015-04 Article PeerReviewed application/pdf en http://eprints.um.edu.my/13749/1/A_Novel_LTE_Scheduling_Algorithm_for_Green_Technology_in_Smart.pdf Hindia, M.N. and Reza, A.W. and Noordin, K.A. and Chayon, M.H.R. (2015) A novel LTE scheduling algorithm for green technology in smart grid. PLoS ONE, 10 (4). p. 18. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0121901 <https://doi.org/10.1371/journal.pone.0121901>. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382332/ 10.1371/journal.pone.0121901
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Hindia, M.N.
Reza, A.W.
Noordin, K.A.
Chayon, M.H.R.
A novel LTE scheduling algorithm for green technology in smart grid
title A novel LTE scheduling algorithm for green technology in smart grid
title_full A novel LTE scheduling algorithm for green technology in smart grid
title_fullStr A novel LTE scheduling algorithm for green technology in smart grid
title_full_unstemmed A novel LTE scheduling algorithm for green technology in smart grid
title_short A novel LTE scheduling algorithm for green technology in smart grid
title_sort novel lte scheduling algorithm for green technology in smart grid
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.um.edu.my/13749/1/A_Novel_LTE_Scheduling_Algorithm_for_Green_Technology_in_Smart.pdf
work_keys_str_mv AT hindiamn anovellteschedulingalgorithmforgreentechnologyinsmartgrid
AT rezaaw anovellteschedulingalgorithmforgreentechnologyinsmartgrid
AT noordinka anovellteschedulingalgorithmforgreentechnologyinsmartgrid
AT chayonmhr anovellteschedulingalgorithmforgreentechnologyinsmartgrid
AT hindiamn novellteschedulingalgorithmforgreentechnologyinsmartgrid
AT rezaaw novellteschedulingalgorithmforgreentechnologyinsmartgrid
AT noordinka novellteschedulingalgorithmforgreentechnologyinsmartgrid
AT chayonmhr novellteschedulingalgorithmforgreentechnologyinsmartgrid