Path Loss Models and Material Attenuation
Compare free-space, log-distance, and ITU indoor path loss with material attenuation and fade margin
Path Loss Models and Material Attenuation
Step through how distance, frequency, environment, and walls reduce received signal power. The goal is to decide whether a wireless IoT link still has enough fade margin to be reliable.
Goal
Predict whether the receiver hears the transmitter after distance loss and obstacle loss are added.
Try first
Start with Office Wi-Fi, then add concrete or metal. Watch the margin drop even if distance stays the same.
Watch
The signal line, curve point, formula, material budget, received power, and diagnosis update together.
Why it matters
A link can fail because of walls, frequency, or low margin, not only because the nodes are far apart.
Signal path
The line shows the selected wireless path. Obstacles add fixed attenuation on top of the distance model. The receiver changes color when fade margin becomes weak or negative.
Calculation details
The log-distance model starts from free-space loss at 1 m, then applies the environment exponent.
Link diagnosis
Fade margin is received power minus receiver sensitivity. Positive margin means the receiver can hear the signal, but reliable links need extra margin.
Received power curve
The orange point is the current distance. The dashed red line is receiver sensitivity; a reliable design normally keeps the point above that line with margin.
Beginner ramp
dBm is signal power on a logarithmic scale. A change of 3 dB is about half or double power, and a change of 10 dB is a factor of ten.
What to notice
Distance loss, material loss, and receiver sensitivity are separate. A short link can still fail if a metal door or concrete wall sits in the path.
Design rule
A positive margin only means the link is mathematically above sensitivity. Practical IoT links often need 10 dB or more for fading, battery voltage, antenna placement, and interference.
Formula guide
- FSPL = 32.44 + 20log10(f_MHz) + 20log10(d_km).
- Log-distance = FSPL at 1 m + 10nlog10(d_m/1 m).
- ITU indoor teaching form = 20log10(f_MHz) + Nlog10(d_m) + floor loss - 28.
Material guide
- Drywall is modeled here as 4 dB per wall.
- Glass is modeled here as 3 dB per pane or partition.
- Concrete is modeled here as 12 dB per wall.
- Metal is modeled here as 20 dB because it can be close to opaque at many IoT frequencies.
Frequency tradeoff
- Higher frequency usually has more free-space loss for the same distance.
- Lower frequency often penetrates better and travels farther.
- Higher frequency may offer more bandwidth or smaller antennas, so the best choice depends on the application.
Practice 1
Choose Office Wi-Fi and switch between FSPL and Log-distance. Which model is more realistic indoors?
Practice 2
Choose Basement Sensor. Remove concrete walls one by one. How much margin does each wall recover?
Practice 3
Choose Sub-GHz Building and then increase frequency toward 2400 MHz. What happens to received power?