Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia

In this paper, an efficient spectrum forecasting model is developed to estimate the required spectrum and calculate the spectrum gap in future. This developed model is essentially based on five main metrics and one constant. The five main metrics are the currently available spectrum, sites number gr...

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Main Authors: Shayea, Ibraheem, Azmi, Marwan Hadri, Abd. Rahman, Tharek, Ergen, Mustafa, Chua, Tien Han, Arsad, Arsany
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:
Online Access:http://eprints.utm.my/89292/1/IbraheemShayea2019_SpectrumGapAnalysiswithPracticalSolutions.pdf
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author Shayea, Ibraheem
Azmi, Marwan Hadri
Abd. Rahman, Tharek
Ergen, Mustafa
Chua, Tien Han
Arsad, Arsany
author_facet Shayea, Ibraheem
Azmi, Marwan Hadri
Abd. Rahman, Tharek
Ergen, Mustafa
Chua, Tien Han
Arsad, Arsany
author_sort Shayea, Ibraheem
collection ePrints
description In this paper, an efficient spectrum forecasting model is developed to estimate the required spectrum and calculate the spectrum gap in future. This developed model is essentially based on five main metrics and one constant. The five main metrics are the currently available spectrum, sites number growth, data traffic growth, average network utilization, and spectrum efficiency growth. The constant metric is considered to give a space for our model to be used in another country or when a new technology is coming. This developed model is then used to forecast the required spectrum and spectrum gap for Malaysia in 2020. The estimation is performed based on the input market data of four main mobile telecommunication operators in Malaysia: Maxis, Celcom, Digi, and U-Mobile. The input data for this model are collected from various sources, such as the Malaysian Communications and Multimedia Commission, OpenSignal, Analysys Mason, GSMA, and HUAWEI. The results indicate that by 2020, Malaysia will require around 307 MHz of additional spectrum to fulfill the enormous increase of mobile data demands. Addressing this increment can be achieved by launching additional spectrum bands, enhancing spectrum efficiency, off-loading mobile data to unlicensed bands or deploying more site numbers.
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spelling utm.eprints-892922021-02-22T06:04:14Z http://eprints.utm.my/89292/ Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia Shayea, Ibraheem Azmi, Marwan Hadri Abd. Rahman, Tharek Ergen, Mustafa Chua, Tien Han Arsad, Arsany TK Electrical engineering. Electronics Nuclear engineering In this paper, an efficient spectrum forecasting model is developed to estimate the required spectrum and calculate the spectrum gap in future. This developed model is essentially based on five main metrics and one constant. The five main metrics are the currently available spectrum, sites number growth, data traffic growth, average network utilization, and spectrum efficiency growth. The constant metric is considered to give a space for our model to be used in another country or when a new technology is coming. This developed model is then used to forecast the required spectrum and spectrum gap for Malaysia in 2020. The estimation is performed based on the input market data of four main mobile telecommunication operators in Malaysia: Maxis, Celcom, Digi, and U-Mobile. The input data for this model are collected from various sources, such as the Malaysian Communications and Multimedia Commission, OpenSignal, Analysys Mason, GSMA, and HUAWEI. The results indicate that by 2020, Malaysia will require around 307 MHz of additional spectrum to fulfill the enormous increase of mobile data demands. Addressing this increment can be achieved by launching additional spectrum bands, enhancing spectrum efficiency, off-loading mobile data to unlicensed bands or deploying more site numbers. Institute of Electrical and Electronics Engineers Inc. 2019-01 Article PeerReviewed application/pdf en http://eprints.utm.my/89292/1/IbraheemShayea2019_SpectrumGapAnalysiswithPracticalSolutions.pdf Shayea, Ibraheem and Azmi, Marwan Hadri and Abd. Rahman, Tharek and Ergen, Mustafa and Chua, Tien Han and Arsad, Arsany (2019) Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia. IEEE Access, 7 . pp. 24910-24933. ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2018.2890302 DOI:10.1109/ACCESS.2018.2890302
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Shayea, Ibraheem
Azmi, Marwan Hadri
Abd. Rahman, Tharek
Ergen, Mustafa
Chua, Tien Han
Arsad, Arsany
Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia
title Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia
title_full Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia
title_fullStr Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia
title_full_unstemmed Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia
title_short Spectrum gap analysis with practical solutions for future mobile data traffic growth in Malaysia
title_sort spectrum gap analysis with practical solutions for future mobile data traffic growth in malaysia
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/89292/1/IbraheemShayea2019_SpectrumGapAnalysiswithPracticalSolutions.pdf
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AT ergenmustafa spectrumgapanalysiswithpracticalsolutionsforfuturemobiledatatrafficgrowthinmalaysia
AT chuatienhan spectrumgapanalysiswithpracticalsolutionsforfuturemobiledatatrafficgrowthinmalaysia
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