Abhayawardhana, V. S., Wassell, I. J., Crosby, D., Sellars, M. P. & Brown, M. G. (2015). Comparison of empirical propagation path loss models for fixed wireless access systems. International Journal of Advanced Research in Computer Science and Software Engineering, 1(2), 123-129.
Baldassaro, P. M. (2001). RF and GIS: Field strength prediction for frequencies between 900 MHz and 28 GHz. Thesis, Blacksburg, Virginia.
Bassey, D., Akpan, A., & Udoeno, E. (2016). UHF wave propagation losses beyond 40 percent Fresnel zone radii in southern Nigeria. International Journal of Science and Research (IJSR), 5(2), 470-475.
Bibb, D. A., Dang, J., Yun, Z. & Iskander, M. F. (2014). Computational accuracy and speed of some knife-edge diffraction models. IEEE Antennas and Propagation Society International Symposium (APSURSI), 6, 705-706.
Bullington, K. (1947). Radio propagation at frequencies above 30 megacycles. Proceedings of the IRE, 35(10), 1122-1136.
Cadavid, A. N., Rojas, R. D., & Bernal, M. P. (2016). Digital terrestrial television measurement and coverage models comparison: Evaluation of measurements and simulations on urban enviroment for DVB-T2 signals in antennas and propagation. IEEE International Symposium, 23, 1257-1258.
Changwon L & Sungkwon P. (2018). Diffraction loss prediction of multiple edges using Bullington method with neural network in mountainous areas. International Journal of Antennas and Propagation, 20(18), 112-119.
Clarke, R. H. (1968). A statistical theory of mobile radio reception. The Bell System Technical Journal, and International Research Journal of Engineering, 5(4). 456-459.
Deygout, J. (1966). Multiple knife-edge diffraction of microwaves. IEEE Trans on Antennas and Propagation, 14, 480-489.
Fraser W. Telecommunication. New Delhi: CBS Publisher and Distributors. 2003.
Giovanelli C. (1984). An analysis of simplified solutions for multiple knife- edge diffraction. IEEE Trans on Antennas and Propagation, 32, 297-301.
Göktas, P. (2015). Analysis and implementation of prediction models for the design of fixed terrestrial point-to-point systems. Doctoral dissertation Bilkent University.
Golam S., Shadhon C. M. & Firoj A. M. (2015). Modeling and characterization of different types of fading channel. International Journal of Science, Engineering and Technology Research, 4(5).
Grecu, I. V., & Nicolaescu, M. (2016). Automatic propagation model tuning process in TETRA networks. Communications International Conference, 229-232.
Haslett, C. (2008). Essentials of radio wave propagation. London: Cambridge UniversKvicera, M., Pechac, P., Grabner, M., Kvicera, V., Valtr, P. & Martellucci, A. (2015). Experimental study on terrestrial links enhancement at 11 and 38 GHz. IEEE transactions on antennas and propagation, 63(7), 3179-3186.
ITU-R. (2013).Propagation by diffraction. Series of ITU-R Recommendations, 26-29
Lazaridis, P. I., Kasampalis, S., Zaharis, Z. D., Cosmas, J. P., Paunovska, L., & Glover, I. (2015). Longley-Rice model precision in case of multiple diffracting obstacles. URSI Atlantic Conference, Canary Islands.
LeNgoc, S. J., Chen, T. B, & Ye, Y. (2016). Improved diffraction loss prediction for land mobile radio communication. Proceedings of Canadian Conference on Electrical and Computer Engineering, 242–247.
Oke, M. & Raji, R. (2014). Exponential models of signal strength of a television station in Nigeria. International Journal of Mathematics and Statistics Studies, 2(1), 45-54.
OSgeo. Retrieved May, 2021 from http://osgeo.org
Pelet, E. R., Salt, E. J., & Wells, G. (2004). Signal distortion caused by tree foliage in a 2.5 GHz channel. Electrical and Computer Engineering, 3, 1449-1452.
Rao, T. R. & Rao, V. (1999). Single knife-edge diffraction propagation studies over a hilly terrain. IEEE Transactions on Broad-casting, 45(1), 20–29.
Rice, P. L., Longley, A. G., Norton, K. A. & Barsis, A. P. (1967). Transmission loss predictions for tropospheric communications circuits. Technical Note 101, U.S. Dept. of Commerce NTIA-ITS.
Salamanca, L,. Murillo-Fuentes, J. J. & Olmos, P. (2011). Review of the radio mobile software as a teaching tool for radio planning. IEEE Multidisciplinary Engineering Education Magazine, 6(2).
Sharma, S. & Uppal, R. S. (2012). RF coverage estimation of cellular mobile system. International Journal of Engineering and Technology 3(6), 398-403.
Sofyan, H., Said, A., Affan, M. & Bawahidi, K. (2005). The application of fuzzy clustering to satellite images data. WSEAS International Conference on Remote Sensing, Venice, 2-4.
Sylvain, R. (2015). Path loss models S-72.333 Physical layer methods in wireless communication systems. Helsinki University of Technology SMARAD Centre of Excellence.
Tuset‐Peiró, P., Anglès‐Vazquez, A., López‐Vicario, J., & Vilajosana‐Guillén, X. (2014). On the suitability of the 433 MHz band for M2M low‐power wireless communications: Propagation aspects. Transactions on Emerging Telecommunications Technologies, 25(12), 1154-1168.
Tzaras, C. & Saunders, S. (2000). Comparison of multiple diffraction models for digital broadcasting coverage prediction. IEEE Transactions on Broadcasting, 46(3), 221–226.
Udoeno E., Ekpa I. & Mopta S. (2022). Determination of Diffraction Losses and Coverage Inaccuracies in some Mountainous Regions of Southern Nigeria.Wireless personal communication (Under review).