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IJSTR >> Volume 9 - Issue 6, June 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



An Optimal Signal Loss Propagation Model For LTE Networks

[Full Text]

 

AUTHOR(S)

Stephen Ojo, Arif Sari, Murat Akkaya

 

KEYWORDS

Signal loss, Quality of service, Propagation, Experimental, Optimal, regression, least square

 

ABSTRACT

This article presents an optimal signal loss propagation model developed for Long Term Evolution (LTE) networks in Cyprus at an operating frequency of 3.1GHz. Experimental and Analytical studies of signal loss in LTE networks were carried out and propagation measurements were collected across rural, suburban and urban areas of Cyprus. Five signal loss propagation models were selected and compared with the measured signal loss. The Cost-231Walfisch-Ikegami model gave the best performance using the performance metric of root mean square error (RMSE). The model was then optimized for LTE networks in Cyprus using the second order polynomial least square regression algorithm and the results clearly shows that the developed model agrees well with the measured signal and is therefore suitable for use as an effective signal propagation model. The developed model accurately characterized radio coverage and network planning of LTE networks in Cyprus, thus enhancing the quality of mobile services. The developed model can be used to accurately determine signal loss across all the LTE networks thus improving the quality of service (QoS).

 

REFERENCES

[1] [1] S.Ajose and A.Imoize, “Propagation measurements and modelling 1800MHz in Lagos, Nigeria” International Journal of wireless and mobile computing Vol.6, No.2, pp165-173, 2013.
[2] E. A. Ubom et al., “Path Loss Characterization of Wireless Propagation for South-South Region of Nigeria,” International Journal of Computer Theory and Engineering, Singapore, Vol.3, No.3, pp 478-482, June 2011.
[3] S. Tahcfullooh and E.Riskayadi, “Optimized Suitable Propagation Model for GSM 900 Path Loss Prediction” TELKOMNIKA Indonesian Journal of Electrical Engineering, Vol.14, No.1, pp 154-162, April, 2015.

[4] J. Wu and D. Yuan, “Propagation Measurements and Modeling in Jinan City,” IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Boston, MA, USA, Vol.3, pp1157-1159, 8-11 September, 1998.

[5] Noh, Sun-Kuk, et al. "Measurements and analysis for proposal of propagation models considering time and spatial variation of propagation environments in the micro-wave band." 2014 International Conference on Information and Communication Technology Convergence (ICTC).IEEE, 2014.
[6] Ekpenyong, M., Isabona, J. and Ekong, E. (2010) ‘On propagation path loss models for 3G-based wireless networks: a comparative analysis’, Georgian Electronic Scientific Journal: Computer Science and Telecommunications, Vol. 2, No. 25, pp.74–84.
[7] Rappaport, T.S. (2002) Wireless Communication: Principles and Practice, 2nd ed., Prentice Hall, Upper Saddle River, NJ, USA
[8] John. M. Shea (2010) Wireless Communications, India Institute of Technology.
[9] Abhijit Mitra. (2010) A Curriculum Devlopment under QIP, IIP.
[10] Mardeni, R. and Priya, T.S. (2010) ‘Optimized COST 231 Hata models for WIMAX Path loss prediction in suburban and open urban environments’, Canadian Centre of Science and Education, Vol. 4, No. 9, pp.75–89.
[11] Erceg, V., Tjandra, S.Y., Parkoff, S.R., Gupta, A., Kulic, B.,Julius, A.A. and Bianchi, R. (1999) ‘An empirically basedpath loss model for wireless channels in suburban environments’, IEEE Journal of Selected Areas in Communications, Vol. 17, No. 7, pp.1205–1211.
[12] Neskovic, Aleksandar, Natasa Neskovic, and George Paunovic. "Modern Approaches in Modeling of Mobile Radio Systems Propagation Environment." IEEE Communications Surveys and Tutorials 3.3 (2000): 2-12.
[13] Abhayawardhana, V.S., Wassell, I.J., Crosby, D.B., Sellars, M.P. and Brown, M.G., (2005) ‘Comparison of empirical propagation path loss models for fixed wireless access system’, Proceedings of IEEE Conference on Vehicular Technology, Stockholm, Sweden, Vol. 1, pp.73–77.
[14] Govinti Sati and Sonika Singh, “A Review of Outdoor Propagation Models in Radio Communication” International Journal of Computer Engineering and Science, ISSN 2231-6590, March 2014.
[15] Rajmohan Rajaraman (2010) “Antennas and Propagation.” Publication of India Institute of Technology, Faulty of Engineering. pp 2-10
[16] Bakinde, N.T.S., Faruk, N., Ayeni, A.A., Muhammad, M.Y. and Gumel, M.I. (2012) ‘Comparison of propagation models for GSM 1800 and WCDMA systems in selected urban areas of Nigeria’, International Journal of Applied Information Systems, Vol. 2, No. 7, pp.6–13.
[17] G. Y. Delisle et al., “Propagation Loss Prediction: A Comparative Study with Application to the Mobile Radio Channel”, IEEE Transactions on Vehicular Technology, Vol. VT-34, No 2, pp 86-96, May 1985
[18] Alotaibi, F.D. and Ali, A.A. (2006) ‘TETRA outdoor large-scale received signal prediction model in Riyadh City-Saudi Arabia’, Proceedings of IEEE Wireless and Microwave Technology Conference (WAMICON), 4–5 December, Clear Water, Florida, USA, pp.1–5.
[19] Nadir, Z. and Ahmad, M.I. (2010) ‘Path loss determination using Okumura-Hata model and cubic regression for missing data inOman’, Proceeding of the International Multi-conference of Engineers and Computer Scientists (IMECS), Hong Kong, Vol. II.
[20] P. K. Sharma and R. K. Singh, “Comparative Analysis of Propagation Path Loss Models with Field Measured Data”, International Journal of Engineering, Science and Technology, Vol. 2(6), pp 2008-2013, 2010.
[21] Abhayawardhana, V.S., Wassell, I.J., Crosby, D.B., Sellars, M.P.and Brown, M.G., (2005) ‘Comparison of empirical propagation path loss models for fixed wireless access system’, Proceedings of IEEE Conference on VehicularTechnology, Stockholm, Sweden, Vol. 1, pp.73–77
[22] J. O. Emagbetere and F. O. Edeko, “Measurement Validation of Hata-Like Models for Radio Propagation Path Loss in Rural Environments at 1.8GHz”, Journal of Mobile Communications, Medwell Journals 3(2): pp 17-21, 2009.
[23] Gilles Y.Delisle et al., “propagation loss prediction: a comparative study with application to mobile radio channel,” IEEE transaction on Vehicular Technology, Vol.VT-34, No.2, pp 86-88, may 1985.
[24] Egli, J. J. (1957) ‘Radio propagation above 40MC over irregular terrain’, Proceedings of the IRE, Vol. 45, No. 10, pp.1383–1391.
[25] D. D. Dajab and P. Naldongar, “A Consideration of Propagation Loss Models for GSM during Harmattan in N‟djamena (Chad)”, International Journal of Computing and ICT Research, Vol.4 No.1, pp 43-48, June 2010.
[26] O. Omorogiuwa and F. O.Edeko, “Investigation and Modeling of Power
Received at 1800 MHz in a Mountainous Terrain: Case Study of Igarra in Edo State, Ajaokuta and Okene in Kogi State,” International Journal of Electrical and Power Engineering, Medwell Journals, 3(3): pp 129-135, 2009.
[27] F. Ujoh, et al, “Understanding Urban Sprawl in the Federal Capital City, Abuja: Towards sustainable Urbanization in Nigeria”, Journal of Geography and Regional Planning, Vol. 3(5), pp 106-113, May 2010.
[28] B. Bilgehan and S.Ojo, “Multiplicative Based Path Loss Model for Wireless Channels”. International Journal of communication Systems Vol.17 issue.31, November 2018.
[29] H. K. Sharma et al, “ Survey of Propagation Models in Wireless Network”,
International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 2, pp 468-472, May 2011.
[30] M. O. Kabaou, et al., “Path Loss Models Comparison in Radio Mobile Communications”, International Journal of Soft Computing, Medwell Journals, 3(2); pp 88-92, 2008.