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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| Format: | Article |
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John Wiley and Sons Inc.
2019
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| _version_ | 1796864623429812224 |
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| 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 |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T20:44:40Z |
| format | Article |
| id | utm.eprints-88396 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:44:40Z |
| publishDate | 2019 |
| publisher | John Wiley and Sons Inc. |
| record_format | dspace |
| spelling | utm.eprints-883962020-12-15T00:02:26Z http://eprints.utm.my/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 |
| 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 |
| title | 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_short | Predicting required licensed spectrum for the future considering big data growth |
| title_sort | predicting required licensed spectrum for the future considering big data growth |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT shayeaibraheem predictingrequiredlicensedspectrumforthefutureconsideringbigdatagrowth AT abdrahmantharek predictingrequiredlicensedspectrumforthefutureconsideringbigdatagrowth AT azmimarwanhadri predictingrequiredlicensedspectrumforthefutureconsideringbigdatagrowth AT chuatienhan predictingrequiredlicensedspectrumforthefutureconsideringbigdatagrowth AT arsadarsany predictingrequiredlicensedspectrumforthefutureconsideringbigdatagrowth |