Universiti Teknologi Malaysia Institutional Repository

Predicting required licensed spectrum for the future considering big data growth

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

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Official URL: http://dx.doi.org/10.4218/etrij.2017-0273


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.

Item Type:Article
Uncontrolled Keywords:forecasting spectrum, spectrum gap
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:88396
Deposited By: Widya Wahid
Deposited On:15 Dec 2020 08:02
Last Modified:15 Dec 2020 08:02

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