Radio Spectrum Occupancy Measurements in Three South-West Geopolitical Cities in Nigeria

Article Preview

Abstract:

The demand for and usage of radio spectrum over the last three decades have increased geometrically throughout the world as a result of daily increase in new wireless services and applications that are in need of radio spectrum. However, the current fixed allocation policy currently being using in radio spectrum management has made availability of radio spectrum for the new emerging wireless services and applications practically infeasible since all available radio spectrum had been allocated nationally and internationally. Nevertheless, results of recent radio spectrum occupancy measurements conducted in several parts of the world had revealed that most of the allocated radio spectrum under the current fixed allocation policy nationally and internationally was underutilized. In additional, the results of some of the spectrum occupancy measurements conducted also showed that the usage of most already allocated radio spectrum varies with time, space and frequency. In order to experimentally verify the actual radio spectrum usage in Nigeria, radio spectrum occupancy measurements were conducted in three major cities in South-West geopolitical zone of Nigeria. The analysis of the results of the radio spectrum occupancy measurements conducted show that the actual radio spectrum usage in the three cities follows the same pattern with the rest of the world with actual usage varies with time, space and frequency with actual overall percentage of occupancy less than 26.0%. The analysis of the results of the occupancy measurements conducted also show that while some allocated radio spectrum were sparsely used, some were medially used and some were heavily used.

You might also be interested in these eBooks

Info:

Periodical:

Engineering Headway (Volume 33)

Pages:

187-198

Citation:

Online since:

February 2026

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2026 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S. Olafsson, B. Glover and M. Nekovee, Future management of spectrum, BT Tech. J. 25(2007) 52-63

DOI: 10.1007/s10550-007-0028-2

Google Scholar

[2] J.J. Popoola and R. van Olst, The performance evaluation of a spectrum sensing implementation using an automatic modulation classification detection method with a Universal Software Radio Peripheral, Exp. Syst. App. 40(2013), 2165-2173.

DOI: 10.1016/j.eswa.2012.10.047

Google Scholar

[3] M. Höyhtyä, A. Höyhtyä, M. Eskola, M. Matinmikko, J. Kalliovaara, J. Suutala, R. Ekman, R. Bacchus and D. Roberson, Spectrum occupancy measurements: A survey and use of interference maps, IEEE Comm. Sur Tut., 18(2016) 1-30.

DOI: 10.1109/comst.2016.2559525

Google Scholar

[4] A.A. Ayeni, N. Faruk, O.W. Bello, O.A. Sowande, S.O. Onidare and M.Y. Muhammed, Spectrum occupancy measurements analysis in the 2.4-2.7 GHz band in urban and rural environments, Int. J. Fut. Comput. Commun. 5(2016) 142-147

DOI: 10.18178/ijfcc.2016.5.3.461

Google Scholar

[5] N. Chukwuchekwa, J.U. Enwume, L.S. Ezema, and C.K. Agubor, Investigation of radio frequency licensed spectrum utilization in Nigeria: A study of Rumuokwuta, Port Harcourt, Nigeria, Int. J. Wireless Mob. Netw. 13(2021) 31-41.

DOI: 10.5121/ijwmn.2021.13503

Google Scholar

[6] E.A. Ubom, and U.S. Ukommi, Comparative evaluation of spectrum occupancy of the broadcasting bands in urban, sub-urban and rural environments, Nig. J. Tech. 41(2022) 1008-1016.

DOI: 10.4314/njt.v41i6.11

Google Scholar

[7] A. Kalla, C. De Alwis, P. Porambage, G. Gur, and M. Liyanage, A survey on the use of blockchain for future 6G: Technical aspect, use cases, challenges and research directions, J. Indust. Inf. Integ., 30(2022).

DOI: 10.1016/j.jii.2022.100404

Google Scholar

[8] A. Ayeni, S.O. Onidare, O.A. Sowande, and O.I. Adebowale, Spectral limitations and the emerging trends in wireless communication, UIJSLICTR, 4(2020) 64-73.

Google Scholar

[9] L. Khalid, and A. Anpalagan, Principles and challenges of cooperative spectrum sensing in cognitive radio networks, In: Zhang, W. (eds) Handbook of Cog. Rad. Springer, Singapore, 2017.

DOI: 10.1007/978-981-10-1389-8_12-1

Google Scholar

[10] J.J. Popoola, O.A. Ogunlana, F.O. Ajie, O. Olakunle, O.A. Akiogbe, S.M. Ani-Initi and S.K. Omotola, Dynamic spectrum access: A new paradigm of converting radio spectrum wastage to wealth, Int. J. Eng. Techn. 2(2016) 124-131.

DOI: 10.19072/ijet.259396

Google Scholar

[11] E. Wiles, B. Hill, F. Anon da Silva, and K. Negus, Measurement and analysis of spectrum occupancy from 140 to 1000 MHz in rural western Montana, Proc. 10th Int. Conf. Ant. Prop., Davos, Switerland, 10-15 April 2011.

DOI: 10.1109/EuCAP.2016.7481328

Google Scholar

[12] I.F. Akyildiz, W.Y. Lee, M.C. Vuran, and S. Mohanty, Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Compt. Netw. 50(2006) 2127-2159.

DOI: 10.1016/j.comnet.2006.05.001

Google Scholar

[13] X. Wang, H. Li, and H. Lin, A new adaptive OFDM system with pre-coded cyclic prefix for dynamic cognitive radio communications, IEEE J. Select. Comm. 29(2011) 431-442.

DOI: 10.1109/jsac.2011.110215

Google Scholar

[14] J.J. Popoola and R. van Olst, A novel modulation-sensing method: Remedy for uncertainty around the practical use of cognitive radio technology, IEEE Veh. Mag. 6(2011) 60-69.

DOI: 10.1109/mvt.2011.941893

Google Scholar

[15] I, Selflek, and E. Yaldiz, Evaluation of spectrum occupancy and comparison for three different regions, J. Fund. App. Sc. 11(2019) 40-64.

Google Scholar

[16] I. Sayyed, M.H. Naikwadi and S.P. Sagat, Frequency spectrum measurement and occupancy analysis, Int. Res. J. Edu. Tech., 1(2021) 34-38.

Google Scholar

[17] S. Kozlowski, and K. Kurek, Channel occupancy measurements in 868 MHz ISM band in residential areas, Sensor, 21(2021) 1-16.

DOI: 10.3390/s21237805

Google Scholar

[18] A.A. Mirani, S.A. Memon, S. Hussain, M.A. Panhwar, S.R.A. Shah, Spectrum occupancy measurement of cellular spectrum and smart network sharing in Pakistan, Int. J. Adv. Comp. Sci. App. 11(2020) 232-243.

DOI: 10.14569/ijacsa.2020.0110328

Google Scholar

[19] S.D. Barnes, P.A. Janse van Vuuren, and B.T. Maharaj, Spectrum occupancy investigation: Measurements in South Africa, Meas. 46(2013) 3098-3112.

DOI: 10.1016/j.measurement.2013.06.010

Google Scholar

[20] J. Lebese, T.O. Olwai, and L. Mfupe, Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios, in Proc. Of IEEE AFRICON, 13-15 September, Arusha, Tanzania.

DOI: 10.1109/AFRICON51333.2021.9570940

Google Scholar

[21] J.J. Popoola and U.N. Otuu, Assessment of radio spectrum profile in Nigeria using multi-band and multi-location radio spectrum occupancy measurements, Eskisehir Tech. Uni. J. Sc. Tech. A-Appl. Sc. Eng. 19(2018) 948-962.

DOI: 10.18038/aubtda.425027

Google Scholar

[22] R.I.C. Chiang, G.B. Rowe, and K.W. Sowerby, A quantitative analysis of spectral occupancy measurements for cognitive radio, Proc. IEEE 165th Veh. Techn. Conf. Dublin, Ireland, 22-25 April, 2007 3016-3020.

DOI: 10.1109/vetecs.2007.618

Google Scholar

[23] D. Chen, J. Yang, J. Wu, H. Tang, and M. Huang, Spectrum occupancy analysis based on radio monitoring network, Proc. 1st IEEE Int. Comm. China: Wirel. Netw. App. (WNA), Beijing, China, 15-17 August, 2012, 739-744.

DOI: 10.1109/iccchina.2012.6356981

Google Scholar

[24] H.O. Lasisi, B.F. Aderinkola, and F.M. Adeagbo, Spectrum occupancy measurement and analysis at Osun State university campus, Osogbo, Nigeria, J. Eng. Atud. Res. 28(2022) 59-66.

Google Scholar

[25] J.J. Popoola, A.A. Ponnle and T.O. Ale, Reliability worth assessment of electric power utility in Nigeria: Residential customer survey results, AU J. T. 14(2011) 217-224.

Google Scholar

[26] A. Garhwal, and P.P. Bhattacharya, A survey on dynamic spectrum access techniques for cognitive radio, Int. J. Next-Gen. 3(2011)15-32.

Google Scholar