EMPIRICAL STUDY OF SIGNAL STRENGTH PATH LOSS IN A UNIVERSITY CAMPUS ENVIRONMENT

Serah Mako; Shafrida Sahrani; Herman Kunsei; Paul R. P. Hoole

doi:10.11113/jurnalteknologi.v86.21835

Authors

Serah Mako PNG University of Technology, Lae 411, Papua New Guinea
Shafrida Sahrani Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Herman Kunsei PNG University of Technology, Lae 411, Papua New Guinea
Paul R. P. Hoole Wessex Institute of Technology, Southampton SO40 7AA, United Kingdom

DOI:

https://doi.org/10.11113/jurnalteknologi.v86.21835

Keywords:

Signal strength, path loss, quality of service, network planning, mobile coverage

Abstract

Conducting performance analysis can be a valuable tool for mobile network operators (MNO) in optimizing network performance, improving user experience, and ensuring services, such as voice calls, data transmission, and video streaming, as well as to adhere to quality standards. This approach facilitates capacity planning, resource allocation, and the prompt identification and resolution of network congestion, hardware failures, or security breaches. In this paper, the performance of three MNOs around Papua New Guinea University of Technology (PNGUoT) is examined. The downlink frequency signal was measured and collected using the MST207T spectrum analyzer. The allocated frequency spectrum for each mobile network evolution from 3G to 4G-LTE was analyzed and calculated for signal strength path loss utilizing Free Space Path Loss (FSPL) and the Cost 231 Hata Model methods. 5G is not discussed in this paper as the technology is awaiting PNG market entry approval. The findings indicate that Digicel towers exhibit a decrease in downlink signal intensity and quality in areas with poor signal reception. Certain technical issues were observed to be responsible for the identified poor performances, including overcrowding of base stations (BS). The signal strength qualities of Bmobile Vodafone and Telikom exhibit variations, suggesting a moderate to poor level of quality. The data results from the path loss calculation also show an increase in fading signal strength quality. The findings of this empirical study would provide valuable insights for enhancing the efficiency and coverage of mobile communication networks around PNGUoT.

References

Apruzzese, M., Bruni, M. E., Musso, S., and Perboli, G. 2023. 5G and Companion Technologies as a Boost in New Business Models for Logistics and Supply Chain. Sustainability (Switzerland). 15(15).

Doi: https://doi.org/10.3390/su151511846.

Erunkulu, O. O., Zungeru, A. M., Lebekwe, C. K., Mosalaosi, M., and Chuma, J. M. 2021. 5G Mobile Communication Applications: A Survey and Comparison of Use Cases. IEEE Access. 9: 97251-97295.

Doi: https://doi.org/10.1109/ACCESS.2021.3093213.

Agiwal, M., Kwon, H., Park, S., and Jin, H. 2021. A Survey on 4G-5G Dual Connectivity: Road to 5G Implementation. IEEE Access. 9: 16193-16210.

Doi: https://doi.org/10.1109/ACCESS.2021.3052462.

Murroni, M., Anedda, M., Fadda, M., Ruiu, P., Popescu, V., Zaharia, C., Giusto, D. 2023. 6G-Enabling the New Smart City: A Survey. Sensors. 23(17).

Doi: https://doi.org/10.3390/s23177528.

Vaezi, M., Azari, A., Khosravirad, S. R., Shirvanimoghaddam, M., Azari, M. M., Chasaki, D., Popovski, P. 2022. Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Toward 6G. IEEE Communications Surveys and Tutorials. 24(2): 1117-1174.

Doi: https://doi.org/10.1109/COMST.2022.3151028.

Dogra, A., Jha, R. K., and Jain, S. 2021. A Survey on beyond 5G Network with the Advent of 6G: Architecture and Emerging Technologies. IEEE Access. 9: 67512-67547.

Doi: https://doi.org/10.1109/ACCESS.2020.3031234.

Chettri, L., and Bera, R. 2020. A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems. IEEE Internet of Things Journal. 7(1): 16-32.

Doi: https://doi.org/10.1109/JIOT.2019.2948888.

Sodhro, A. H., Obaidat, M. S., Abbasi, Q. H., Pace, P., Pirbhulal, S., Yasar, A., Fortino, G., Imran, M. A., and Qaraqe, M. 2019. Quality of Service Optimization in an IoT-Driven Intelligent Transportation System. IEEE Wireless Communications. 26(6): 10-17.

Doi: https://doi.org/10.1109/MWC.001.1900085.

Jahromi, H. Z., Delaney, D. T., and Hines, A. 2020. Beyond First Impressions: Estimating Quality of Experience for Interactive Web Applications. IEEE Access. 8: 47741-47755.

Doi: https://doi.org/10.1109/ACCESS.2020.2979385.

Xu, Y., Gui, G., Gacanin, H., and Adachi, F. 2021. A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges. IEEE Communications Surveys & Tutorials. 23(2): 668-695.

Doi: https://doi.org/10.1109/COMST.2021.3059896.

Bouraqia, K., Sabir, E., Sadik, M., and Ladid, L. 2020. Quality of Experience for Streaming Services: Measurements, Challenges and Insights. IEEE Access. 8: 13341-13361.

Doi: https://doi.org/10.1109/ACCESS.2020.2965099.

Yang, M., Wang, S., Calheiros R. N., and Yang, F. 2018. Survey on QoE Assessment Approach for Network Service. IEEE Access. 6: 48374-48390.

Doi: https://doi.org/10.1109/ACCESS.2018.2867253.

Huang, J., and Xiao, M. 2022. Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation. IEEE Transactions on Big Data. 8(5): 1155-1168.

Doi: https://doi.org/10.1109/TBDATA.2020.3014049.

Cheon, K. Y., Kwon, H., Kim, I., Park, S., and Kyun, J. C. 2020. Mobile Traffic Assessment for 4G Network: Virtual Sample Region Approach. Proceedings of International Conference on Advanced Communication Technology (ICACT), South Korea. 310-313.

Doi: https://doi.org/10.23919/ICACT48636.2020.9061285.

Nyarko-Boateng, O., and Adekoya, A. F. 2019. Evaluation and Analysis of Key Performance Indicators Which Affect QoS of Mobile Call Traffic. International Journal of Computer Networks. 9(1): 14-30.

Kelechi, A. H., Samson, U. A., Simeon, M., Obinna, O., Alex, A., and Aderemi, A. A. 2021. The Quality of Service of the Deployed LTE Technology by Mobile Network Operators in Abuja-Nigeria. International Journal of Electrical and Computer Engineering. 11(3): 2191-2202.

Doi: https://doi.org/10.11591/ijece.v11i3.pp2191-2202.

Wahab, M. S. D., Kiring, A., Barukang, L., Yew, H. T., Farm, Y. Y., and Chung, S. K. 2023. IEEE 802.15.4 Signal Strength Evaluation in an Indoor Environment for Positioning Applications. Proceedings of IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Sabah. 325-330.

Doi: http:// 10.1109/IICAIET59451.2023.10291565.

Nakazato, J., Nakagawa, K., Itoh, K., Fontugne, R., Tsukada, M., and Esaki, H. 2024. WebRTC over 5 G: A Study of Remote Collaboration QoS in Mobile Environment. Journal of Network and Systems Management. 32(1): 1.

Doi: https://doi.org/10.1007/s10922-023-09778-5.

Sharma, S., Deivakani, M., Reddy, K. S., Gnanasekar, A. K., and Aparna, G. 2021. Key Enabling Technologies of 5G Wireless Mobile Communication. Journal of Physics: Conference Series.

Doi: https://doi.org/10.1088/1742-6596/1817/1/012003.

Shayea, I., Ergen, M., Azmi, M. H., Nandi, D., El-Salah, A. A., and Zahedi, A. 2020. Performance Analysis of Mobile Broadband Networks with 5G Trends and Beyond: Rural Areas Scope in Malaysia. IEEE Access. 8: 65211-65229.

Doi: https://doi.org/10.1109/ACCESS.2020.2978048.

Sridher, T., Sarma, A. D., and Kumar, P. N. 2022. Performance Evaluation of Onboard Wi-Fi Module Antennas in Terms of Orientation and Position for IoT Applications. International Journal of Engineering, Transactions A: Basics. 35(10): 1918-1928.

Doi: https://doi.org/10.5829/IJE.2022.35.10A.11.

Mazhar, T., Malik, M. A., Mohsan, S. A. H., Li, Y., Haq, I., Ghorashi, S., Karim, F. K., Mostafa, S. M. 2023. Quality of Service (QoS) Performance Analysis in a Traffic Engineering Model for Next-Generation Wireless Sensor Networks, Symmetry (Basel). 15(2).

Doi: https://doi.org/10.3390/sym15020513.

Mahjoub, T., Said, M. B., and Boujemaa, H. 2022. Experimental Analysis of LoRa Signal in Urban Environment. Proceeding of International Wireless Communications and Mobile Computing (IWCMC 2022), Croatia. 812-817.

Doi: https://doi.org/10.1109/IWCMC55113.2022.9825315.

Pham, N. B., Okely, A. D., Whittaker, M. et al. 2020. Millennium Development Goals in Papua New Guinea: Towards Universal Education. Educational Research for Policy and Practice. 19: 181-209.

Doi: https://doi.org/10.1007/s10671-019-09255-4.

Hoole, P. R. P. 2020. Smart Antennas and Electromagnetic Signal Processing for Advanced Wireless Technology: with Artificial Intelligence Applications and Coding. Smart Antennas and Electromagnetic Signal Processing for Advanced Wireless Technology: with Artificial Intelligence Applications and Coding. River Publishers.

Rappaport, T. S. 2024. Wireless Communications: Principles and Practice (2nd ed.). Cambridge: Cambridge University Press.

Seybold, J. S. 2005. Introduction to RF Propagation. John Wiley and Sons, Inc. Hoboken, New Jersey.

Pirapaharan, K., Ajithkumar, N., Sarujan, K., Fernando, X., Hoole, P. R. P. Smart. 2022. Smart, Fast, and Low Memory Beam-Steering Antenna Configurations for 5G and Future Wireless Systems. Electronics (Switzerland). 11(17).

DOI: https://doi.org/10.3390/electronics11172658.

Pirapaharan, K., Prabhashana, W.H.S.C., Medaranga, S. P. P., Hoole, P. R. P., Fernando, X. 2023. A New Generation of Fast and Low-Memory Smart Digital/Geometrical Beamforming MIMO Antenna. Electronics (Switzerland), 12(7).

Doi: https://doi.org/10.3390/electronics12071733.