Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz

Accurate channel models for predicting received power under slow fading impairments are essential for planning 5G solutions due to the increased range of possible transmission frequencies. The densification of base stations will pose an increased number of complex coverage and capacity situations where flexible and computational simple channel models are essential. In this paper, we study state-of-the-art empirical channel models, more specifically ITU-R M.2412 and 3GPP 38.901, and their performance on experimental measurements at 2630 MHz for LTE-A reference parameters such as RSRP. A crude ray-tracing model is implemented for reference. The results show an increase in the predictive performance of approximately 4 dB at 811 MHz compared to higher frequencies of 2630 MHz.

[1]  Theodore S. Rappaport,et al.  Investigation and Comparison of 3GPP and NYUSIM Channel Models for 5G Wireless Communications , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[2]  Theodore S. Rappaport,et al.  Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios , 2015, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

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

[4]  Vittorio Degli-Esposti,et al.  Ray Tracing RF Field Prediction: An Unforgiving Validation , 2015 .

[5]  Zaher Dawy,et al.  Planning Wireless Cellular Networks of Future: Outlook, Challenges and Opportunities , 2017, IEEE Access.

[6]  Yasushi Takatori,et al.  Path loss frequency dependence at 2–26 GHz in an urban macro cell environment , 2017, 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.

[7]  Matteo Artuso,et al.  Drive Test Minimization Using Deep Learning with Bayesian Approximation , 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).

[8]  Huan Nguyen,et al.  Path Loss, Shadow Fading, and Line-of-Sight Probability Models for 5G Urban Macro-Cellular Scenarios , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).