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Channel Characterization of a Dense UMTS and LTE Network for Improved Services in South-West, Nigeria

Nnebe Scholastica U.1 , Odeh I. Ochim2 , Nwankwo Vincent I.3

Section:Research Paper, Product Type: Journal Paper
Volume-9 , Issue-12 , Page no. 15-22, Dec-2021

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v9i12.1522

Online published on Dec 31, 2021

Copyright © Nnebe Scholastica U., Odeh I. Ochim, Nwankwo Vincent I. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Nnebe Scholastica U., Odeh I. Ochim, Nwankwo Vincent I., “Channel Characterization of a Dense UMTS and LTE Network for Improved Services in South-West, Nigeria,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.12, pp.15-22, 2021.

MLA Style Citation: Nnebe Scholastica U., Odeh I. Ochim, Nwankwo Vincent I. "Channel Characterization of a Dense UMTS and LTE Network for Improved Services in South-West, Nigeria." International Journal of Computer Sciences and Engineering 9.12 (2021): 15-22.

APA Style Citation: Nnebe Scholastica U., Odeh I. Ochim, Nwankwo Vincent I., (2021). Channel Characterization of a Dense UMTS and LTE Network for Improved Services in South-West, Nigeria. International Journal of Computer Sciences and Engineering, 9(12), 15-22.

BibTex Style Citation:
@article{U._2021,
author = {Nnebe Scholastica U., Odeh I. Ochim, Nwankwo Vincent I.},
title = {Channel Characterization of a Dense UMTS and LTE Network for Improved Services in South-West, Nigeria},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2021},
volume = {9},
Issue = {12},
month = {12},
year = {2021},
issn = {2347-2693},
pages = {15-22},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5421},
doi = {https://doi.org/10.26438/ijcse/v9i12.1522}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v9i12.1522}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5421
TI - Channel Characterization of a Dense UMTS and LTE Network for Improved Services in South-West, Nigeria
T2 - International Journal of Computer Sciences and Engineering
AU - Nnebe Scholastica U., Odeh I. Ochim, Nwankwo Vincent I.
PY - 2021
DA - 2021/12/31
PB - IJCSE, Indore, INDIA
SP - 15-22
IS - 12
VL - 9
SN - 2347-2693
ER -

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Abstract

The need for excellent delivery in wireless communication and the demand for high data rate transmission have resulted in the investigation of propagation mechanisms for higher-order frequencies, with enormous prospects in increasing data rate with respect to higher bandwidth. Deficiencies in the wireless channel such as poor signal quality, blocked calls, dropped calls, interference problems, etc make it eminent for the development of path loss prediction and estimation models that predict the signal strength of any given terrain. This research is focused on determining the mathematical model that characterizes the propagation environment of a dense urban area in Lagos, Nigeria (Festac town). The RSS measured was used to characterize the environment and a path loss model was developed for both UMTS and LTE in the test environment as ???????? (d) = 77 + 32 ???????????? (????) and ???????? (????????) = 81 + 26 ???????????? (????) respectively. The path loss model developed was tested and its goodness of fit (R^2) was found to be 0,83 for both UMTS and LTE network respectively. This serves as a basis for predicting the path loss of measured data in the environment under research with greater precision and helps in optimizing the overall performance of the wireless mobile network in proffering seamless services in Lagos, Nigeria.

Key-Words / Index Term

Path-loss, Channel Characterization, LTE, UMTS, Lagos

References

[1] Abhayawardhana V. S. Wassel I. J. Crosby D., Sellers M. P., & M. G., Brown, “Comparison of empirical propagation path loss models for fixed wireless access systems,”, 61th IEEE Technology Conference, Stockholm, vol. 1, pp. 73-77, 2005.
[2] Seybold J. S., Introduction to RF propagation. John Wiley and Sons Inc., New Jersey; 2005 Sep. p. 352, 2005.
[3] Ekpenyong M, Robinson S, & Isabona J., Macro cellular propagation predictionfor wireless communications in urban environments. Georgian Electronic Scientific Journal: Computer Science and Telecommunications. 10 (3):130–6, 2010.
[4] Nadir Z, & Ahmad M. I. (2010), Path loss determination using Okumura-Hata model and cubic regression for missing data in Oman. Proceeding of the International Multi-conference of Engineers and Computer Scientists (IMECS). 2010 Mar 17–19; II:1–4. PMCid: PMC3552452
[5] Applebaum S. , “Adaptive arrays,” Technical Report SPL TR-66 001, Syracuse Univ. Rec., Corp. Report, 1965.
[6].Erceg, V. and et al, “An Empirically Based Path Loss Model for Wireless Channels in Suburban Environments” IEEE journal on selected areas in communications, vol. 17, no. 7, 1999.
[7] Augustus E. I, Agbotiname L. I, Simeon O. A, Samuel N. J, Charles U. N & Francis E. I. (2017), An Empirical Propagation Model for Path Loss Prediction at 2100MHz in a Dense Urban Environment ISSN (Print) : 0974-6846, ISSN (Online) : 0974-5645, Indian Journal of Science and Technology, Vol 10(5), DOI: 10.17485/ijst/2017/v10i5/90654, February 2017
[8] Aymen Z. & Milan D. (2017), Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments. Proceedings of the 3rd World Congress on Electrical Engineering and Computer Systems and Science (EECSS`17) Paper No. VMW 103 ISSN: 2369-811X DOI: 10.11159/vmw17.103, Rome, Italy – June 4 – 6, 2017.
[9] Azubogu, A.C.O et al (2010) “Empirical-Statistical Propagation Pathloss Model for Suburban environment of Nigeria at 800MHz band”, The IUP Journal of Science and Technology, India.
[10]Nadir Z., Elfadhil, N. and Touati, F., (2008) “Path loss Determination Using Okumura-Hata Model and Spline Interpolation for Missing Data for Oman Proceedings of the World Congress on Engineering” Vol I WCE 2008, July 2 - 4, 2008, London, U.K.
[11]Rappaport T. S., Wireless communications: principles and practice. 2nd. Ed, Prentice Hall, New Delhi, 2005.
[12]Ghosh P. M. Hossain M. A., Zainul-Abadin, K. & Karmakar, K. (2012), “Comparison among different large scale path loss models for high sites in urban, suburban and rural areas,” International Journal of Soft Computing and Engineering (IJSCE), vol. 2, no. 2, pp. 287-290, 2012.[13]Pan Y. H. Lataeif K. Cao Z. (2004),” Dynamic Spatial Subchannel Allocation with Adaptive Beamforming for MIMO/OFDM Systems,”, IEEE Trans. Wireless Commun., vol. 3, pp. 2097-2107, 2004.
[14]Medeisis & Kajackas, “ Use of the Universal Okumura Hata Propagation Prediction Model in Rural Area’’ Vehicular Technology Conference Proceedings, VTC Tokyo, Vol 3 pp 1818, 2000.
[15]Ubom E. A, Idigo V. E, Azubogu A. C. O, Ohaneme C. O, & Alumona T. L. (2011) Path loss characterization of wireless propagation for south-south region of Nigeria. International Journal of Computer Theory and Engineering. 3(3):478–82, 2011.