An Accurate Empirical Path Loss Model for Heterogeneous Fixed Wireless Networks Below 5.8 GHz Frequencies

Great progress has been made in providing convenient wireless communications with easy connectivity for users everywhere. Many empirical path loss (PL) models have been developed to assess the performance of new radio networks. This article first studies the state-of-the-art of empirical PL models, along with vegetation effects on radio signal propagation. Next, an accurate empirical PL model is proposed for fixed wireless networks under challenging rural propagation conditions. The proposed model is based on a Canadian dataset from a wireless internet service provider, using the Wireless-To-The-Home technology in the unlicensed 900 MHz, 2.4 and 5.8 GHz ISM bands and in the licensed 3.65 GHz band. The proposed model considers several parameters, such as line-of-sight obstructions, frequency bands and dynamic link distance splitting, in addition to seasonal variations in PL attenuation. It outperforms other models in terms of accuracy when tested on a dataset from a different Canadian region, and it provides excellent and steady accuracy when tested on a largely different open-access dataset for mobile communication technology from seven different regions in England.

[1]  J. A. Shrawankar,et al.  A Review on Investigation and Assessment of Path Loss Models in Urban and Rural Environment , 2017 .

[2]  V. S. Abhayawardhana,et al.  Comparison of empirical propagation path loss models for fixed wireless access systems , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[3]  Jean Louis Fendji Kedieng Ebongue,et al.  Empirical Path Loss Models for 802.11n Wireless Networks at 2.4 GHz in Rural Regions , 2014, AFRICOMM.

[4]  Hamid Mcheick,et al.  WiFi Coverage Range Characterization for Smart Space Applications , 2019, 2019 IEEE/ACM 1st International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT).

[5]  Jing Wang,et al.  Path Loss Prediction Based on Machine Learning: Principle, Method, and Data Expansion , 2019, Applied Sciences.

[6]  Dirk Grunwald,et al.  The Efficacy of Path Loss Models for Fixed Rural Wireless Links , 2011, PAM.

[7]  Halim Yanikomeroglu,et al.  A novel probabilistic path loss model for simulating coexistence between 802.11 and 802.15.4 networks in smart home environments , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[8]  Theodore S. Rappaport,et al.  Study on 3GPP rural macrocell path loss models for millimeter wave wireless communications , 2017, 2017 IEEE International Conference on Communications (ICC).

[9]  Jean Michel Nlong,et al.  Slope-based Empirical Path Loss Prediction Models for rural networks at 2.4 GHz , 2019 .

[10]  Jonatan Ostrometzky,et al.  Accumulated Mixed Precipitation Estimation Using Measurements from Multiple Microwave Links , 2015 .

[11]  Adamu Murtala Zungeru,et al.  Cellular Communications Coverage Prediction Techniques: A Survey and Comparison , 2020, IEEE Access.

[12]  Joel Nothman,et al.  SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python , 2019, ArXiv.

[13]  M. Al-Nuaimi,et al.  Measurements and prediction model optimisation for signal attenuation in vegetation media at centimetre wave frequencies , 1998 .

[14]  Yazan A. Alqudah Path Loss Modeling Based on Field Measurements Using Deployed 3.5 GHz WiMAX Network , 2013, Wirel. Pers. Commun..

[15]  Mark A. Weissberger,et al.  An initial critical summary of models for predicting the attenuation of radio waves by trees , 1982 .

[16]  Nektarios Moraitis,et al.  Measurements and path loss models for a TD-LTE network at 3.7 GHz in rural areas , 2020, Wirel. Networks.

[17]  Li Hong,et al.  Path loss measurement of 2.4G band radio signal communication in disaster ruins , 2016, 2016 16th International Symposium on Communications and Information Technologies (ISCIT).

[18]  M. Salazar-Palma,et al.  A survey of various propagation models for mobile communication , 2003 .

[19]  Michael S. Mollel,et al.  An overview of various propagation model for mobile communication , 2014, Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014).

[20]  Larry J. Greenstein,et al.  An empirically based path loss model for wireless channels in suburban environments , 1999, IEEE J. Sel. Areas Commun..

[21]  M. Al-Nuaimi,et al.  Measurements and predictions of attenuation and scatter of microwave signals by trees , 1994 .

[22]  O. O. Oni,et al.  Review of Selected Wireless System Path loss Prediction Models and its Adaptation to Indoor Propagation Environments , 2017 .

[23]  Martin Smith,et al.  Propagation losses due to foliage at various frequencies , 1999 .

[24]  John Hornbuckle,et al.  Characterization of WiFi signal range for agricultural WSNs , 2017, 2017 23rd Asia-Pacific Conference on Communications (APCC).

[25]  Daniel Kuyoli Ngala A Study on Path Loss Analysis for KNUST Campus WLAN, Ghana , 2016 .

[26]  Theodore S. Rappaport,et al.  Millimeter-wave distance-dependent large-scale propagation measurements and path loss models for outdoor and indoor 5G systems , 2015, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[27]  Dana Marinca,et al.  Comparative Analysis of Channel Models for Industrial IoT Wireless Communication , 2019, IEEE Access.

[28]  Joel Joseph S. Marciano,et al.  Alternative Backhaul link for Community Cellular Network in Rural Coastal Areas , 2019, 2019 IEEE Global Humanitarian Technology Conference (GHTC).

[29]  A. R. Tharek,et al.  Propagation study of microwave signals based on rain attenuation data at 26 GHz and 38 GHz measured in Malaysia , 1999, 1999 Asia Pacific Microwave Conference. APMC'99. Microwaves Enter the 21st Century. Conference Proceedings (Cat. No.99TH8473).

[30]  Wei Li,et al.  A method for calibrating standard propagation model in LTE system , 2017, 2017 IEEE 17th International Conference on Communication Technology (ICCT).

[31]  H. Bertoni,et al.  A theoretical model of UHF propagation in urban environments , 1988 .

[32]  N. Rakesh,et al.  Comprehensive performance analysis of path loss models on GSM 940 MHz and IEEE 802.16 WIMAX frequency 3.5 GHz on different terrains , 2015, 2015 International Conference on Computer Communication and Informatics (ICCCI).

[33]  Andreas Burg,et al.  3.5 GHz Coverage Assessment with a 5G Testbed , 2021, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring).

[34]  M. Hata,et al.  Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[35]  Carlos T. Calafate,et al.  Calibrating the Standard Path Loss Model for Urban Environments using Field Measurements and Geospatial Data , 2017 .

[36]  Caroline Omoanatse Alenoghena,et al.  Optimal Propagation Models for Path-loss Prediction in a Mountainous Environment at 2100MHz , 2020, 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).

[37]  Rezaul Huque Khan,et al.  Comparative Study of Path Loss Models of WiMAX at 2.5 GHz Frequency Band , 2013 .

[38]  Snježana Rimac-Drlje,et al.  Radio wave propagation mechanisms and empirical models for fixed wireless access systems , 2010 .

[39]  Michael S. Mollel,et al.  Comparison of Empirical Propagation Path Loss Models for Mobile Communication , 2014 .

[40]  Vijay Garg,et al.  Wireless Communications & Networking , 2007 .

[41]  Dirk Grunwald,et al.  Bounding the Practical Error of Path Loss Models , 2012 .

[42]  Rida El Chall,et al.  LoRaWAN Network: Radio Propagation Models and Performance Evaluation in Various Environments in Lebanon , 2019, IEEE Internet of Things Journal.

[43]  H.T. Friis,et al.  A Note on a Simple Transmission Formula , 1946, Proceedings of the IRE.

[44]  Dirk Grunwald,et al.  A Survey of Wireless Path Loss Prediction and Coverage Mapping Methods , 2013, IEEE Communications Surveys & Tutorials.

[45]  Hans-Jürgen Zepernick,et al.  Macrocell Path-Loss Prediction Using Artificial Neural Networks , 2010, IEEE Transactions on Vehicular Technology.

[46]  Matti Manninen,et al.  Radio interface system planning for GSM/GPRS/UMTS , 2001 .

[47]  Yazan A. Alqudah,et al.  On the validation of path loss models based on field measurements using 800 MHz LTE network , 2016, 2016 Annual IEEE Systems Conference (SysCon).

[48]  Promise Elechi,et al.  Comparison of Empirical Path Loss Propagation Models with Building Penetration Path Loss Model , 2016 .

[49]  K. L. Chee,et al.  Effects of Carrier Frequency, Antenna Height and Season on Broadband Wireless Access in Rural Areas , 2012, IEEE Transactions on Antennas and Propagation.

[50]  Vinko Erceg,et al.  Channel Models for Fixed Wireless Applications , 2001 .

[51]  K. H. Craig,et al.  Semi-empirical model for millimetre-wave vegetation attenuation rates , 1995 .

[52]  Sethuraman N Rao,et al.  A comprehensive survey of electromagnetic propagation models , 2017, 2017 International Conference on Communication and Signal Processing (ICCSP).

[53]  Michael Rademacher,et al.  Experimental Results For the Propagation of Outdoor IEEE802.11 Links , 2016 .

[54]  Barry McLarnon,et al.  VHF / UHF / Microwave Radio Propagation : A Primer for Digital Experimenters , 1997 .

[55]  Paulo Roberto de Freitas,et al.  Parameters Fitting to Standard Propagation Model (SPM) for Long Term Evolution (LTE) using nonlinear regression method , 2017, 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).