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Predicting required licensed spectrum for the future considering big data growth

This paper proposes a new spectrum forecasting (SF) model to estimate the spectrum demands for future mobile broadband (MBB) services. The model requires five main input metrics, that is, the current available spectrum, site number growth, mobile data traffic growth, average network utilization, and...

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Main Authors: Shayea, Ibraheem, Abd. Rahman, Tharek, Azmi, Marwan Hadri, Chua, Tien Han, Arsad, Arsany
Format: Article
Published: John Wiley and Sons Inc. 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/88396/
http://dx.doi.org/10.4218/etrij.2017-0273
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spelling my.utm.883962020-12-15T00:02:26Z http://eprints.utm.my/id/eprint/88396/ Predicting required licensed spectrum for the future considering big data growth Shayea, Ibraheem Abd. Rahman, Tharek Azmi, Marwan Hadri Chua, Tien Han Arsad, Arsany TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new spectrum forecasting (SF) model to estimate the spectrum demands for future mobile broadband (MBB) services. The model requires five main input metrics, that is, the current available spectrum, site number growth, mobile data traffic growth, average network utilization, and spectrum efficiency growth. Using the proposed SF model, the future MBB spectrum demand for Malaysia in 2020 is forecasted based on the input market data of four major mobile telecommunication operators represented by A–D, which account for approximately 95% of the local mobile market share. Statistical data to generate the five input metrics were obtained from prominent agencies, such as the Malaysian Communications and Multimedia Commission, OpenSignal, Analysys Mason, GSMA, and Huawei. Our forecasting results indicate that by 2020, Malaysia would require approximately 307 MHz of additional spectrum to fulfill the enormous increase in mobile broadband data demands. John Wiley and Sons Inc. 2019-04 Article PeerReviewed Shayea, Ibraheem and Abd. Rahman, Tharek and Azmi, Marwan Hadri and Chua, Tien Han and Arsad, Arsany (2019) Predicting required licensed spectrum for the future considering big data growth. ETRI Journal, 41 (2). pp. 224-234. ISSN 1225-6463 http://dx.doi.org/10.4218/etrij.2017-0273
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Shayea, Ibraheem
Abd. Rahman, Tharek
Azmi, Marwan Hadri
Chua, Tien Han
Arsad, Arsany
Predicting required licensed spectrum for the future considering big data growth
description This paper proposes a new spectrum forecasting (SF) model to estimate the spectrum demands for future mobile broadband (MBB) services. The model requires five main input metrics, that is, the current available spectrum, site number growth, mobile data traffic growth, average network utilization, and spectrum efficiency growth. Using the proposed SF model, the future MBB spectrum demand for Malaysia in 2020 is forecasted based on the input market data of four major mobile telecommunication operators represented by A–D, which account for approximately 95% of the local mobile market share. Statistical data to generate the five input metrics were obtained from prominent agencies, such as the Malaysian Communications and Multimedia Commission, OpenSignal, Analysys Mason, GSMA, and Huawei. Our forecasting results indicate that by 2020, Malaysia would require approximately 307 MHz of additional spectrum to fulfill the enormous increase in mobile broadband data demands.
format Article
author Shayea, Ibraheem
Abd. Rahman, Tharek
Azmi, Marwan Hadri
Chua, Tien Han
Arsad, Arsany
author_facet Shayea, Ibraheem
Abd. Rahman, Tharek
Azmi, Marwan Hadri
Chua, Tien Han
Arsad, Arsany
author_sort Shayea, Ibraheem
title Predicting required licensed spectrum for the future considering big data growth
title_short Predicting required licensed spectrum for the future considering big data growth
title_full Predicting required licensed spectrum for the future considering big data growth
title_fullStr Predicting required licensed spectrum for the future considering big data growth
title_full_unstemmed Predicting required licensed spectrum for the future considering big data growth
title_sort predicting required licensed spectrum for the future considering big data growth
publisher John Wiley and Sons Inc.
publishDate 2019
url http://eprints.utm.my/id/eprint/88396/
http://dx.doi.org/10.4218/etrij.2017-0273
_version_ 1687393566046814208
score 13.211869

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