A field team has a real problem to settle: Why do higher Wi-Fi bands shrink antennas but sharpen shadows? They must decide what happens before they change selected frequency on the device. Predict the direction first.
See the relationship first
The figure reads from left to right. The blue card is selected frequency. The middle card uses this page's rule. The green card is selected wavelength. Follow the arrows: set the input, use the rule, then read the result and its unit.
The audit later on checks more than one number. Here, the added model uses the baseline named below and holds every other chapter value fixed. That sentence bridges the fixtures, so the numbers do not change without a reason.
Derive the baseline in four moves
- 1
Name the input. The chapter baseline for selected frequency is 6000.
- 2
Name the rule. λ2.4 = 0.125 m; λ5 = 0.060 m; λ6 = 0.050 m quarter waves = 3.125 cm, 1.500 cm, 1.250 cm D/λ for D = 0.30 m: 2.40, 5.00, 6.00 ΔFSPL(2.4→6) = 7.959 dB
- 3
Put in the chapter value. Set selected frequency to 6000. The page rule gives selected wavelength as 0.050 m.
- 4
Read the result. Keep m next to the value. Use it only within the limits on this page.
Predict, then change selected frequency
Try Predict what happens to selected wavelength. Move one control, calculate, then check your idea.
Observe Frequency shortens wavelength, so the same obstacle becomes electrically larger while the equal-distance ideal power toll rises. Reset to 6000 and compare selected wavelength.
Explain Only selected frequency moves here. The other chapter values stay fixed.
Check yourself
What should you do before you trust the result?
What does this small model leave out?
1. Start with the physical story
A higher frequency has a shorter wavelength. Antennas can shrink, but a fixed obstacle spans more wavelengths and sits farther into the sharp-shadow screening regime.
2. Name every algebra move
Find wavelengthUse λ = c/f after converting megahertz to hertz.
Find quarter waveDivide λ by four for a simple antenna-size reference.
Scale the obstacleDivide obstacle size D by wavelength λ.
Compare bandsUse 20log10(f2/f1) for the ideal same-distance loss delta.
3. Reproduce the chapter case
quarter waves = 3.125 cm, 1.500 cm, 1.250 cm
D/λ for D = 0.30 m: 2.40, 5.00, 6.00
ΔFSPL(2.4→6) = 7.959 dB
The larger D/λ ratio at 6 GHz is an idealised screening direction. A body is not a flat, uniform obstacle, and a building contains many paths.
4. Try one real input
TryMove the selected Wi-Fi frequency. Watch wavelength, quarter-wave size, body scale, and ideal loss move together.
ObserveAt 6 GHz a 30 cm body spans 6 wavelengths, versus 2.4 wavelengths at 2.4 GHz.
ExplainFrequency shortens wavelength, so the same obstacle becomes electrically larger while the equal-distance ideal power toll rises.
D/λ is an obstacle-scale screen, not a diffraction solver.
- Shape
- Human bodies, walls, furniture, and doorways are not flat ideal edges.
- Paths
- Reflection, absorption, polarization, and multiple edges need richer models or measurements.
- Band
- Allowed power, antenna performance, client support, and channel width differ.
Correct, not complete: this ledger does not rank Wi-Fi bands or predict installed coverage.
5. Use the result in the design
Use D/λ to explain why an installed-form band test matters. Compare the same client location, enclosure, orientation, AP, traffic, and service threshold across bands.
6. Record the evidence state
Record band, channel, EIRP, antenna, obstacle geometry, client posture, measured margin and retries, local rules, and the change that triggers a retest.
7. Check yourself
Why does a 6 GHz quarter wave measure one centimetre shorter than a 2.4 GHz one?
Does D/λ = 6 calculate body attenuation?
What remains after the ideal 7.96 dB toll?
This is an ideal wavelength and obstacle-scale screen.
- Exact
- Frequency-to-wavelength and free-space ratio arithmetic are reproducible.
- Screen
- D/λ shows a trend, not attenuation in dB.
- Evidence
- Installed service still requires measurement.
Correct, not complete: this ledger does not rank Wi-Fi bands or predict installed coverage.
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