PERFORMANCE ANALYSIS OF 5G PATH LOSS MODELS FOR RURAL MACROCELL ENVIRONMENT

Authors

DOI:

https://doi.org/10.31436/iiumej.v21i1.1247

Keywords:

5G networks, Path Loss Modelling, Rural Macrocell

Abstract

5G networks are expected to use the Millimeter Wave (mmWave) frequency band and this frequency provides wider bandwidth allowing a better quality of service to be offered to the users. However, the mmWave frequencies may lead to a higher path loss due to several factors including blockages,rain and atmosphere. Therefore, to allow optimal positioning of the 5G base stations, the study of path loss model in this 5G mmWave frequencies is crucial. This paper investigates the 5G path loss models as well as their parameters that are most suitable for cross-polarized antennas under rural macrocell environment in Malaysia. Path loss models namely Close In Free Space Reference Distance Path Loss Model (CI) model, and Alpha Beta Gamma (ABG) or Floating Intercept (FI) Model along with their parameters achieved from the previous studies were evaluated by comparing the parameters and models that are closest to the sampled path loss when using antennas that have different patterns and polarizations in an open-source simulator. Results obtained indicate that FI model can be adapted to the majority of the environment where this model showed the lowest Root Mean Square Error (RMSE). The study of path loss models by using advanced simulator or field measurement, and studies on other rural areas from other states in Malaysia will be considered in future works.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

REFERENCES
[1] T. S. Rappaport, Y. Xing, G. R. MacCartney, A. F. Molisch, E. Mellios, and J. Zhang, “Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks-With a Focus on Propagation Models,” IEEE Trans. Antennas Propag., vol. 65, no. 12, pp. 6213–6230, 2017.
[2] R. N. Mitra and D. P. Agrawal, “5G mobile technology: A survey,” ICT Express, vol. 1, no. 3, pp. 132–137, 2015.
[3] R. T. Prabu, M. Benisha, V. T. Bai, and V. Yokesh, “Millimeter wave for 5G mobile communication application,” Proceeding IEEE - 2nd Int. Conf. Adv. Electr. Electron. Information, Commun. Bio-Informatics, IEEE - AEEICB 2016, pp. 236–240, 2016.
[4] A. M. Al-Samman, M. N. Hindia, and T. A. Rahman, “Path loss model in outdoor environment at 32 GHz for 5G system,” 2016 IEEE 3rd Int. Symp. Telecommun. Technol. ISTT 2016, pp. 9–13, 2017.
[5] J. G. Andrews et al., “What will 5G be?,” IEEE J. Sel. Areas Commun., vol. 32, no. 6, pp. 1065–1082, 2014.
[6] T. S. Rappaport, Y. Xing, G. R. Maccartney, and A. F. Molisch, “Overview of Millimeter Wave Communications for a Focus on Propagation Models,” IEEE Trans. Antennas Propag., vol. 65, no. 12, pp. 6213–6230, 2017.
[7] S. Sun et al., “Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios,” 2016 IEEE 83rd Veh. Technol. Conf., no. May, 2016.
[8] X. Zhao, S. Li, Q. Wang, M. Wang, S. Sun, and W. Hong, “Channel Measurements, Modeling, Simulation and Validation at 32 GHz in Outdoor Microcells for 5G Radio Systems,” IEEE Access, vol. 5, pp. 1062–1072, 2017.
[9] A. Gupta and R. K. Jha, “A Survey of 5G Network: Architecture and Emerging Technologies,” IEEE Access, vol. 3, pp. 1206–1232, 2015.
[10] G. R. Maccartney and T. S. Rappaport, “Study on 3GPP rural macrocell path loss models for millimeter wave wireless communications,” IEEE Int. Conf. Commun., no. 1, pp. 3–9, 2017.
[11] G. R. Maccartney and T. S. Rappaport, “Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications,” IEEE J. Sel. Areas Commun., vol. 35, no. 7, pp. 1663–1677, 2017.
[12] National Geographic, “Rural Area.” [Online]. Available: https://www.nationalgeographic.org/encyclopedia/rural-area/. [Accessed: 19-Jun-2019].
[13] A. M. Al-Samman, T. A. Rahman, M. H. D. N. Hindia, A. Daho, and E. Hanafi, “Path loss model for outdoor parking environments at 28 GHz and 38 GHz for 5G wireless networks,” Symmetry (Basel)., vol. 10, no. 12, 2018.
[14] T. S. Rappaport, G. MacCartney, M. Samimi, and S. Sun, “Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design,” IEEE Trans. Commun., vol. PP, no. 99, pp. 1–1, 2015.
[15] S. Sun et al., “Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications,” IEEE Trans. Veh. Technol., vol. 65, no. 5, pp. 2843–2860, 2016.
[16] S. Sun, G. R. Maccartney, and T. S. Rappaport, “A novel millimeter-wave channel simulator and applications for 5G wireless communications,” IEEE Int. Conf. Commun., vol. 10, no. May, 2017.
[17] World Weather Online, “Weather Forecast.” [Online]. Available: https://www.worldweatheronline.com/. [Accessed: 06-Apr-2019].
[18] International Telecommunication Union (ITU), “Characteristics of precipitation for propagation modelling P Series Radiowave propagation,” 2017.
[19] Ericsson, “Advanced Antenna Systems for 5G Networks,” 2018.

Downloads

Published

2020-02-20

How to Cite

Mohd Nordin, M. A., & Mohd Ramli, H. A. (2020). PERFORMANCE ANALYSIS OF 5G PATH LOSS MODELS FOR RURAL MACROCELL ENVIRONMENT. IIUM Engineering Journal, 21(1), 85–99. https://doi.org/10.31436/iiumej.v21i1.1247

Issue

Section

Electrical, Computer and Communications Engineering