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

Ibraheem Shayea*, Marwan Hadri Azmi, Tharek Abd Rahman, Mustafa Ergen, Chua Tien Han, Arsany Arsad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number8603723
Pages (from-to)24910-24933
Number of pages24
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Funding

This work was supported by the Universiti Teknologi Malaysia under Grant R.J130000.7823.4J216 and Grant Q.J130000.2423.03G79.

FundersFunder number
Universiti Teknologi MalaysiaR.J130000.7823.4J216, Q.J130000.2423.03G79

    Keywords

    • Malaysia's spectrum in future
    • Mathematical forecasting spectrum model
    • forecasting required spectrum
    • spectrum gap

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