A Hybrid Model for Path Loss Estimation in Avenue Environment

Main Article Content

Narathep Phruksahiran

Abstract

Diverse propagation mechanisms complicate propagation analysis and modeling for a foliage condition. Therefore, a simpler optimized hybrid propagation model, which maintains or improves accuracy but preserves a cooperative relationship with physics, would be insightful. We evaluate an approach for developing a radio-wave propagation prediction model in an avenue area by combining the path loss in free space and environment parameters. It is demonstrated that this two-mechanism hybrid model can provide an accurate fit to the profile of through forest propagation over a long distance, which is impossible with the definitive radiative energy transfer model. The predicted model results were validated using radio-wave propagation in the FM band measurement data.

Article Details

How to Cite
[1]
N. Phruksahiran, “A Hybrid Model for Path Loss Estimation in Avenue Environment”, NKRAFA J SCI TECH, vol. 20, no. 2, pp. 11–22, Sep. 2024.
Section
Research Articles

References

Andrusenko, J. et al. (2008). VHF General Urban Path Loss Model for Short Range Ground to Ground Communications. IEEE Transactions on Antennas and Propagation. 56(10): 3302-3310.

Almeida, M.P.C. et al. (2015). Measurements of Field Strength and HD Radio Reception Quality at VHF. IEEE Antennas and Wireless Propagation Letters. 14: 201-204.

Bozomitu, R.G., Hutu, F.D., & De Pinho Ferreira, N. (2021). Drivers’ Warning Application Through Image Notifications on the FM Radio Broadcasting Infrastructure. IEEE Access. 9: 13553-13572.

Hu, Z., Li, S., & Xiang, Y. (2021). Time Information Transmission Based on FM Broadcast Signal. IEEE Access. 9: 16360-16364.

Phruksahiran, N., & Michanan, J. (2021). Iteration Improvement of Taylor-Series Estimation Using Hyperbolic Systems for FM-Radio Source Localization in Bangkok. Signal Image and Video Processing. 15: 247–254.

Ma, J., Li, H. & Gan, L. (2023). Order-Statistic Based Target Detection with Compressive Measurements in Single-Frequency Multistatic Passive Radar. Signal Processing. 203: 108785.

Sarkar, T.K. et al. (2003). A Survey of Various Propagation Models for Mobile Communication. IEEE Antennas and Propagation Magazine. 45(3): 51-82.

Phillips, C., Sicker, D., & Grunwald, D. (2013). A Survey of Wireless Path Loss Prediction and Coverage Mapping Methods. IEEE Communications Surveys & Tutorials. 15(1): 255-270.

Li, H., He, X., & He, W. (2018). Review of Wireless Personal Communications Radio Propagation Models in High Altitude Mountainous Areas at 2.6 GHz. Wireless Personal Communications. 101: 735–753.

Al-Samman, A.M., Hindia, M.N., & Rahman, T.A. (2016). Path Loss Model in Outdoor Environment at 32 GHz for 5G System. In Proceedings of IEEE 3rd International Symposium on Telecommunication Technologies (9-13).

Hampton, J.R. et al. (2019). Drone-Based Forest Propagation Measurements for Ground-to-Air EMI Applications. IEEE Antennas and Wireless Propagation Letters. 18(12): 2627-2631.

De Beelde, B. et al. (2022). Vegetation Loss at D-Band Frequencies and New Vegetation-Dependent Exponential Decay Model. IEEE Transactions on Antennas and Propagation. 70(12): 12092-12103.

Burke, P.J. (2022). 4G Signal Propagation at Ground Level. IEEE Transactions on Antennas and Propagation. 70(4): 2891-2903.

M. E. Diago-Mosquera, M.E. et al. (2022). mmWave Channel Measurements for 3-D Path Loss Analysis and Model Design in Stadiums. IEEE Wireless Communications Letters. 11(9): 2005-2009.

Meng, Y.S., Lee, Y.H., & Ng, B.C. (2009). Empirical Near Ground Path Loss Modeling in a Forest at VHF and UHF Bands. IEEE Transactions on Antennas and Propagation. 57(5): 1461-1468.

Palaios, A., Nilforoushan, M., & Mähönen, P. (2016). Understanding European Forest Radio Propagation Dynamics with in and out of Forest Transmitters. In Proceedings of IEEE Military Communications Conference. (705-710).

Cheffena, M., & Mohamed, M. (2017). Empirical Path Loss Models for Wireless Sensor Network Deployment in Snowy Environments. IEEE Antennas and Wireless Propagation Letters. 16: 2877-2880.

Hejselbæk, J. et al. (2018). Empirical Study of Near Ground Propagation in Forest Terrain for Internet-of-Things Type Device-to-Device Communication. IEEE Access. 6: 54052-54063.

Dias, M.H.C. et al. (2011). Path Loss Measurements of HF/VHF Land Links in a Brazilian Atlantic Rainforest Urban Site. IEEE Antennas and Wireless Propagation Letters. 10: 1063-1067.

MacCartney, G.R., Samimi, M.K., & Rappaport, T.S. (2014). Omnidirectional Path Loss Models in New York City at 28 GHz and 73 GHz. In Proceedings of IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (227-231).

Castellanos, G.D., & Teuta, G. (2017). Urban-Vegetation Ratio Evaluation for Path Loss Model in Amazonian Region for Television Bands. In Proceedings of 47th European Microwave Conference. (699-702).

Sridhar, B., & Ali Khan, M.Z. (2014). RMSE Comparison of Path Loss Models for UHF/VHF Bands in India. In Proceedings of IEEE Region 10 Symposium. (330-335).

Ko, J. et al. (2017). 28 GHz Millimeter-Wave Measurements and Models for Signal Attenuation in Vegetated Areas. In Proceedings of 11th European Conference on Antennas and Propagation. (1808-1812).

Olajuwon, K.H. et al. (2022). Efficacy of some Unpopular Path Loss Propagation Models in the VHF and UHF Bands. In Proceedings of IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development. (1-5).

Azevedo, J.A.R., & Santos, F.E.S. (2011). An Empirical Propagation Model for Forest Environments at Tree Trunk Level. IEEE Transactions on Antennas and Propagation. 59(6): 2357-2367.

Zhang, P. et al. (2020). Measurement-Based 5G Millimeter-Wave Propagation Characterization in Vegetated Suburban Macrocell Environments. IEEE Transactions on Antennas and Propagation. 68(7): 5556-5567.

Zabihi, R., & Vaughan, R.G. (2020). Simplifying Through-Forest Propagation Modelling. IEEE Open Journal of Antennas and Propagation. 1: 104-112.

Myagmardulam, B. et al. (2021). Path Loss Prediction Model Development in a Mountainous Forest Environment. IEEE Open Journal of the Communications Society. 2: 2494-2501.

Juan-Llácer, L. et al. (2022). A Simplified Model for Path Loss Estimation in Citrus Plantations at 3.5 GHz. IEEE Antennas and Wireless Propagation Letters. 21(6): 1183-1187.

T.T. Oladimeji, T.T., Kumar, P., & Oyie, N.O. (2022). Propagation Path Loss Prediction Modelling in Enclosed Environments for 5G Networks: A Review. Heliyon. 8(11): e11581.

Hata, M. (1980). Empirical Formula for Propagation Loss in Land Mobile Radio Services. IEEE Transactions on Vehicular Technology. 29(3): 317-325.

Ayad, M. et al. (2022). Evaluation of Radio Communication Links of 4G Systems. Sensors. 22(10): 3923.

Perez-Vega, C., & Zamanillo, J.M. (2002). Path-Loss Model for Broadcasting Applications and Outdoor Communication Systems in the VHF and UHF Bands. IEEE Transactions on Broadcasting. 48(2): 91-96.

Prasad, M.V.S.N. (2006). Path Loss Exponents Deduced from VHF & UHF Measurements Over Indian Subcontinent and Model Comparison. IEEE Transactions on Broadcasting. 52(3): 290-298.

Ndzi, D.L. et al. (2014). Wireless Sensor Network Coverage Measurement and Planning in Mixed Crop Farming. Computers and Electronics in Agriculture. 105: 83-94.

Barrios-Ulloa, A. et al. (2022). Modeling Radio Wave Propagation for Wireless Sensor Networks in Vegetated Environments: A Systematic Literature Review. Sensors. 22(14): 5285.

Ko, J. et al. (2020). Measurements and Analysis of Radio Propagation at 28 GHz in Vegetated Areas of Typical Residential Environments. IEEE Transactions on Antennas and Propagation. 68(5): 4149-4154.