Two-ray ground-reflection model

The two-rays ground-reflection model is a multipath radio propagation model which predicts the path losses between a transmitting antenna and a receiving antenna when they are in line of sight (LOS). Generally, the two antenna each have different height. The received signal having two components, the LOS component and the reflection component formed predominantly by a single ground reflected wave.

• The 2-ray ground reflection model is a simplified propagation model used to estimate the path loss between a transmitter and a receiver in wireless communication systems, in order to estimate the actual communication paths used. It assumes that the signal propagates through two paths:

1) Direct Path: A direct line-of-sight path between the transmitter and receiver antennas. 2) Reflected path: The path through which the signal reflects off the ground before reaching the receiver.

2-Ray Ground Reflection diagram including variables for the 2-ray ground reflection propagation algorithm.

Mathematical derivation[1][2]

From the figure the received line of sight component may be written as

${\displaystyle r_{los}(t)=Re\left\{{\frac {\lambda {\sqrt {G_{los}}}}{4\pi }}\times {\frac {s(t)e^{-j2\pi l/\lambda }}{l}}\right\}}$

and the ground reflected component may be written as

${\displaystyle r_{gr}(t)=Re\left\{{\frac {\lambda \Gamma (\theta ){\sqrt {G_{gr}}}}{4\pi }}\times {\frac {s(t-\tau )e^{-j2\pi (x+x')/\lambda }}{x+x'}}\right\}}$

where ${\displaystyle s(t)}$ is the transmitted signal, ${\displaystyle l}$ is the length of the direct line-of-sight (LOS) ray, ${\displaystyle x+x'}$ is the length of the ground-reflected ray, ${\displaystyle G_{los}}$ is the combined antenna gain along the LOS path, ${\displaystyle G_{gr}}$ is the combined antenna gain along the ground-reflected path, ${\displaystyle \lambda }$ is the wavelength of the transmission (${\displaystyle \lambda ={\frac {c}{f}}}$, where ${\displaystyle c}$ is the speed of light and ${\displaystyle f}$ is the transmission frequency), ${\displaystyle \Gamma (\theta )}$ is ground reflection coefficient and ${\displaystyle \tau }$ is the delay spread of the model which equals ${\displaystyle (x+x'-l)/c}$. The ground reflection coefficient is[1]

${\displaystyle \Gamma (\theta )={\frac {\sin \theta -X}{\sin \theta +X}}}$

where ${\displaystyle X=X_{h}}$ or ${\displaystyle X=X_{v}}$ depending if the signal is horizontal or vertical polarized, respectively. ${\displaystyle X}$ is computed as follows.

${\displaystyle X_{h}={\sqrt {\varepsilon _{g}-{\cos }^{2}\theta }},\ X_{v}={\frac {\sqrt {\varepsilon _{g}-{\cos }^{2}\theta }}{\varepsilon _{g}}}={\frac {X_{h}}{\varepsilon _{g}}}}$

The constant ${\displaystyle \varepsilon _{g}}$ is the relative permittivity of the ground (or generally speaking, the material where the signal is being reflected), ${\displaystyle \theta }$ is the angle between the ground and the reflected ray as shown in the figure above.

From the geometry of the figure, yields:

${\displaystyle x+x'={\sqrt {(h_{t}+h_{r})^{2}+d^{2}}}}$

and

${\displaystyle l={\sqrt {(h_{t}-h_{r})^{2}+d^{2}}}}$,

Therefore, the path-length difference between them is

${\displaystyle \Delta d=x+x'-l={\sqrt {(h_{t}+h_{r})^{2}+d^{2}}}-{\sqrt {(h_{t}-h_{r})^{2}+d^{2}}}}$

and the phase difference between the waves is

${\displaystyle \Delta \phi ={\frac {2\pi \Delta d}{\lambda }}}$

The power of the signal received is

${\displaystyle P_{r}=E\{|r_{los}(t)+r_{gr}(t)|^{2}\}}$

where ${\displaystyle E\{\cdot \}}$ denotes average (over time) value.

Approximation

If the signal is narrow band relative to the inverse delay spread ${\displaystyle 1/\tau }$, so that ${\displaystyle s(t)\approx s(t-\tau )}$, the power equation may be simplified to

${\displaystyle {\begin{aligned}P_{r}=E\{|s(t)|^{2}\}\left({\frac {\lambda }{4\pi }}\right)^{2}\times \left|{\frac {{\sqrt {G_{los}}}\times e^{-j2\pi l/\lambda }}{l}}+\Gamma (\theta ){\sqrt {G_{gr}}}{\frac {e^{-j2\pi (x+x')/\lambda }}{x+x'}}\right|^{2}&=P_{t}\left({\frac {\lambda }{4\pi }}\right)^{2}\times \left|{\frac {\sqrt {G_{los}}}{l}}+\Gamma (\theta ){\sqrt {G_{gr}}}{\frac {e^{-j\Delta \phi }}{x+x'}}\right|^{2}\end{aligned}}}$

where ${\displaystyle P_{t}=E\{|s(t)|^{2}\}}$ is the transmitted power.

When distance between the antennas ${\displaystyle d}$ is very large relative to the height of the antenna we may expand ${\displaystyle \Delta d=x+x'-l}$,

${\displaystyle {\begin{aligned}\Delta d=x+x'-l=d{\Bigg (}{\sqrt {{\frac {(h_{t}+h_{r})^{2}}{d^{2}}}+1}}-{\sqrt {{\frac {(h_{t}-h_{r})^{2}}{d^{2}}}+1}}{\Bigg )}\end{aligned}}}$

using the Taylor series of ${\displaystyle {\sqrt {1+x}}}$:

${\displaystyle {\sqrt {1+x}}=1+\textstyle {\frac {1}{2}}x-{\frac {1}{8}}x^{2}+\dots ,}$

and taking the first two terms only,

${\displaystyle x+x'-l\approx {\frac {d}{2}}\times \left({\frac {(h_{t}+h_{r})^{2}}{d^{2}}}-{\frac {(h_{t}-h_{r})^{2}}{d^{2}}}\right)={\frac {2h_{t}h_{r}}{d}}}$

The phase difference can then be approximated as

${\displaystyle \Delta \phi \approx {\frac {4\pi h_{t}h_{r}}{\lambda d}}}$

When ${\displaystyle d}$ is large, ${\displaystyle d\gg (h_{t}+h_{r})}$,

Reflection co-efficient tends to -1 for large d.

${\displaystyle {\begin{aligned}d&\approx l\approx x+x',\ \Gamma (\theta )\approx -1,\ G_{los}\approx G_{gr}=G\end{aligned}}}$

and hence

${\displaystyle P_{r}\approx P_{t}\left({\frac {\lambda {\sqrt {G}}}{4\pi d}}\right)^{2}\times |1-e^{-j\Delta \phi }|^{2}}$

Expanding ${\displaystyle e^{-j\Delta \phi }}$using Taylor series

${\displaystyle e^{x}=\sum _{n=0}^{\infty }{\frac {x^{n}}{n!}}=1+x+{\frac {x^{2}}{2}}+{\frac {x^{3}}{6}}+\cdots }$

and retaining only the first two terms

${\displaystyle e^{-j\Delta \phi }\approx 1+({-j\Delta \phi })+\cdots =1-j\Delta \phi }$

it follows that

${\displaystyle {\begin{aligned}P_{r}&\approx P_{t}\left({\frac {\lambda {\sqrt {G}}}{4\pi d}}\right)^{2}\times |1-(1-j\Delta \phi )|^{2}\\&=P_{t}\left({\frac {\lambda {\sqrt {G}}}{4\pi d}}\right)^{2}\times \Delta \phi ^{2}\\&=P_{t}\left({\frac {\lambda {\sqrt {G}}}{4\pi d}}\right)^{2}\times \left({\frac {4\pi h_{t}h_{r}}{\lambda d}}\right)^{2}\\&=P_{t}{\frac {Gh_{t}^{2}h_{r}^{2}}{d^{4}}}\end{aligned}}}$

so that

${\displaystyle P_{r}\approx P_{t}{\frac {Gh_{t}^{2}h_{r}^{2}}{d^{4}}}}$

and path loss is

${\displaystyle PL={\frac {P_{t}}{P_{r}}}={\frac {d^{4}}{Gh_{t}^{2}h_{r}^{2}}}}$

which is accurate in the far field region, i.e. when ${\displaystyle \Delta \phi \ll 1}$ (angles are measured here in radians, not degrees) or, equivalently,

${\displaystyle d\gg {\frac {4\pi h_{t}h_{r}}{\lambda }}}$

and where the combined antenna gain is the product of the transmit and receive antenna gains, ${\displaystyle G=G_{t}G_{r}}$. This formula was first obtained by B.A. Vvedenskij.[3]

Note that the power decreases with as the inverse fourth power of the distance in the far field, which is explained by the destructive combination of the direct and reflected paths, which are roughly of the same in magnitude and are 180 degrees different in phase. ${\displaystyle G_{t}P_{t}}$ is called "effective isotropic radiated power" (EIRP), which is the transmit power required to produce the same received power if the transmit antenna were isotropic.

In logarithmic units

In logarithmic units : ${\displaystyle P_{r_{\text{dBm}}}=P_{t_{\text{dBm}}}+10\log _{10}(Gh_{t}^{2}h_{r}^{2})-40\log _{10}(d)}$

Path loss : ${\displaystyle PL\;=P_{t_{\text{dBm}}}-P_{r_{\text{dBm}}}\;=40\log _{10}(d)-10\log _{10}(Gh_{t}^{2}h_{r}^{2})}$

Power vs. distance characteristics

When the distance ${\displaystyle d}$ between antennas is less than the transmitting antenna height, two waves are added constructively to yield bigger power. As distance increases, these waves add up constructively and destructively, giving regions of up-fade and down-fade. As the distance increases beyond the critical distance ${\displaystyle dc}$ or first Fresnel zone, the power drops proportionally to an inverse of fourth power of ${\displaystyle d}$. An approximation to critical distance may be obtained by setting Δφ to π as the critical distance to a local maximum.

An extension to large antenna heights

The above approximations are valid provided that ${\displaystyle d\gg (h_{t}+h_{r})}$, which may be not the case in many scenarios, e.g. when antenna heights are not much smaller compared to the distance, or when the ground cannot be modelled as an ideal plane . In this case, one cannot use ${\displaystyle \Gamma \approx -1}$ and more refined analysis is required, see e.g.[4][5]

Propagation modeling for high-altitude platforms, UAVs, drones, etc.

The above large antenna height extension can be used for modeling a ground-to-the-air propagation channel as in the case of an airborne communication node, e.g. an UAV, drone, high-altitude platform. When the airborne node altitude is medium to high, the relationship ${\displaystyle d\gg (h_{t}+h_{r})}$ does not hold anymore, the clearance angle is not small and, consequently, ${\displaystyle \Gamma \approx -1}$ does not hold either. This has a profound impact on the propagation path loss and typical fading depth and the fading margin required for the reliable communication (low outage probability).[4][5]

As a case of log distance path loss model

The standard expression of Log distance path loss model in [dB] is

${\displaystyle PL\;=P_{T_{dBm}}-P_{R_{dBm}}\;=\;PL_{0}\;+\;10\nu \;\log _{10}{\frac {d}{d_{0}}}\;+\;X_{g},}$

where ${\displaystyle X_{g}}$ is the large-scale (log-normal) fading, ${\displaystyle d_{0}}$ is a reference distance at which the path loss is ${\displaystyle PL_{0}}$, ${\displaystyle \nu }$ is the path loss exponent; typically ${\displaystyle \nu =2...4}$.[1][2] This model is particularly well-suited for measurements, whereby ${\displaystyle PL_{0}}$ and ${\displaystyle \nu }$ are determined experimentally; ${\displaystyle d_{0}}$ is selected for convenience of measurements and to have clear line-of-sight. This model is also a leading candidate for 5G and 6G systems[6][7] and is also used for indoor communications, see e.g.[8] and references therein.

The path loss [dB] of the 2-ray model is formally a special case with ${\displaystyle \nu =4}$:

${\displaystyle PL\;=P_{t_{dBm}}-P_{r_{dBm}}\;=40\log _{10}(d)-10\log _{10}(Gh_{t}^{2}h_{r}^{2})}$

where ${\displaystyle d_{0}=1}$, ${\displaystyle X_{g}=0}$, and

${\displaystyle PL_{0}=-10\log _{10}(Gh_{t}^{2}h_{r}^{2})}$,

which is valid the far field, ${\displaystyle d>d_{c}=4\pi h_{r}h_{t}/\lambda }$ = the critical distance.

As a case of multi-slope model

The 2-ray ground reflected model may be thought as a case of multi-slope model with break point at critical distance with slope 20 dB/decade before critical distance and slope of 40 dB/decade after the critical distance. Using the free-space and two-ray model above, the propagation path loss can be expressed as

${\displaystyle L=\max\{G,L_{min},L_{FS},L_{2-ray}\}}$

where ${\displaystyle L_{FS}=(4\pi d/\lambda )^{2}}$ and ${\displaystyle L_{2-ray}=d^{4}/(h_{t}h_{r})^{2}}$ are the free-space and 2-ray path losses; ${\displaystyle L_{min}}$ is a minimum path loss (at smallest distance), usually in practice; ${\displaystyle L_{min}\approx 20}$ dB or so. Note that ${\displaystyle L\geq G}$ and also ${\displaystyle L\geq 1}$ follow from the law of energy conservation (since the Rx power cannot exceed the Tx power) so that both ${\displaystyle L_{FS}=(4\pi d/\lambda )^{2}}$ and ${\displaystyle L_{2-ray}=d^{4}/(h_{t}h_{r})^{2}}$ break down when ${\displaystyle d}$ is small enough. This should be kept in mind when using these approximations at small distances (ignoring this limitation sometimes produces absurd results).

See also

• Path loss
• Radio propagation model
• Free-space path loss
• Friis transmission equation
• ITU-R P.525
• Link budget
• Ray tracing (physics)
• Reflection (physics)
• Specular reflection
• Six-rays model
• Ten-rays model

References

1. Jakes, W.C. (1974). Microwave Mobile Communications. New York: IEEE Press.
2. Rappaport, Theodore S. (2002). Wireless Communications: Principles and Practice (2. ed.). Upper Saddle River, NJ: Prentice Hall PTR. ISBN 978-0130422323.
3. Vvedenskij, B.A. (December 1928). "On Radio Communications via Ultra-Short Waves". Theoretical and Experimental Electrical Engineering (12): 447–451.
4. Loyka, Sergey; Kouki, Ammar (October 2001). "Using Two Ray Multipath Model for Microwave Link Budget Analysis". IEEE Antennas and Propagation Magazine. 43 (5): 31–36. Bibcode:2001IAPM...43...31L. doi:10.1109/74.979365.
5. Loyka, Sergey; Kouki, Ammar; Gagnon, Francois (Oct 2001). Fading Prediction on Microwave Links for Airborne Communications. IEEE Vehicular Technology Conference. Atlantic City, USA.
6. Rappaport, T. S.; et al. (Dec 2017). "Overview of millimeter wave communications for fifth-generation (5G) wireless networks — with a focus on propagation models". IEEE Transactions on Antennas and Propagation. 65 (12): 6213–6230. arXiv:1708.02557. Bibcode:2017ITAP...65.6213R. doi:10.1109/TAP.2017.2734243. S2CID 21557844.
7. Rappaport, T. S.; et al. (June 2019). "Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond". IEEE Access. 7: 78729–78757. Bibcode:2019IEEEA...778729R. doi:10.1109/ACCESS.2019.2921522. S2CID 195740426.
8. "ITU model for indoor attenuation", Wikipedia, 2021-03-14, retrieved 2022-01-24; see also [1]

Further reading

• S. Salous, Radio Propagation Measurement and Channel Modelling, Wiley, 2013.
• J.S. Seybold, Introduction to RF propagation, Wiley, 2005.
• K. Siwiak, Radiowave Propagation and Antennas for Personal Communications, Artech House, 1998.
• M.P. Doluhanov, Radiowave Propagation, Moscow: Sviaz, 1972.
• V.V. Nikolskij, T.I. Nikolskaja, Electrodynamics and Radiowave Propagation, Moscow: Nauka, 1989.
• 3GPP TR 38.901, Study on Channel Model for Frequencies from 0.5 to 100 GHz (Release 16), Sophia Antipolis, France, 2019 [2]
• Recommendation ITU-R P.1238-8: Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range 300 MHz to 100 GHz [3]
• S. Loyka, ELG4179: Wireless Communication Fundamentals, Lecture Notes (Lec. 2-4), University of Ottawa, Canada, 2021 [4]