Frequency Band Comparison Calculator
The formula
What the band coverage handicap tells you
The dB cost of pushing a WLAN from 2.4 into 5/6 GHz: pure frequency path loss plus the wall-material differential nobody measures.
Calculation: Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band. Enter your inputs and every substitution is shown below the result.
Reading the result
Under 15 m indoor the gap is trivia; through two brick walls it is the entire design — the high band needs denser APs, full stop.
Rules of thumb: Drywall ≈ 3–5 dB @5 GHz extra; brick/concrete 10–20 dB.
Limitations and best practice
Higher bands buy speed too: the “worse” coverage cell usually carries 2–4× the throughput, which is why the right answer is both.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Is 6 GHz like 5 GHz for coverage?
Does beamforming fix the gap?
Source & methodology
Friis free-space path-loss law; ITU-R P.2040 indoor material loss tables.
Frequency Band Comparison explained: formula, worked example and honest limits
This page was written for one job: turning your own inputs into a defensible figure, with the working shown. Searchers land on a Frequency Band Comparison page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
The useful way to hold Frequency Band Comparison is as a ratio with a story attached: Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band says how the parts combine, and the 10.7 dB figure above is simply that sentence written in numbers. Everything that follows unpacks one clause of the sentence at a time.
People rarely disagree about arithmetic; they disagree about assumptions that were never written down. Printing the substitution and the sensitivity ranking removes that category of disagreement for Frequency Band Comparison.
Nothing below is stock text pasted around a number: the worked example computes free-space + wall penalty of higher band = 10.7 dB from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Higher band first, at ≈8.6 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
The Frequency Band Comparison formula, explained
Here is the complete model this tool runs — Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Lower band (MHz) (example value 2,400) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Replace the example with the figure from your own records — the tool recomputes instantly and the printed steps follow your numbers.
Higher band (MHz) (example value 5,800) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Replace the example with the figure from your own records — the tool recomputes instantly and the printed steps follow your numbers.
Path distance (m) (example value 79) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Keep every length field in the same unit; the formula assumes a consistency it cannot check for you.
Walls in path (example value 1 drywall) is a categorical input — the option you choose decides which numbers the formula uses. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
What each “Walls in path” choice actually does: 0 → 7.7 dB · 1 drywall → 10.7 dB · 2+ / brick → 13.7 dB — each value above is the model’s own output for that option, so the choice can be made on evidence rather than on what a category feels like it means.
Frequency Band Comparison on the example inputs: the complete substitution
Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: Lower band (MHz), Higher band (MHz), Path distance (m), Walls in path. The computed free-space + wall penalty of higher band comes out at 10.7 dB, which the interpretation band labels “Real gap — plan 5 GHz cells”.
- FSPL(20logf): Δ = 20 log(5,800/2,400) = 7.7 dB
- Wall differential ≈ 1 × 3 dB = 3 dB
- Total higher-band handicap = 10.7 dB
- At 79 m the low band covers like the high band at 146 m
Pure free-space delta — 7.7 dB. If your inputs change, this is usually the first companion figure to move.
Extra wall penalty — 3.0 dB. If your inputs change, this is usually the first companion figure to move.
Equivalently slower at range by — 11.65 × path. This is the number experienced users quote when the headline alone would mislead.
Range ratio (same power) — 0.54 ×. Read next to the headline, this is the figure that shows the shape of the trade-off.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
How far Frequency Band Comparison can reasonably move
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| Higher band setting | Free-space + wall penalty of higher band |
|---|---|
| 80 % of the example value | 8.7 dB |
| 90 % of the example value | 9.7 dB |
| example inputs | 10.7 dB |
| 110 % of the example value | 11.5 dB |
| 120 % of the example value | 12.2 dB |
Across 5 settings of Higher band, the result spans 8.7 dB to 12.2 dB. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing Higher band alone; the substitution steps will follow your figures exactly.
What actually moves your Frequency Band Comparison
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the free-space + wall penalty of higher band was recalculated from scratch. It is the fastest honest answer to “what matters most in Frequency Band Comparison?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- Higher band: ten percent up gives 11.5 dB, ten percent down gives 9.7 dB — ≈8.6 % of the free-space + wall penalty of higher band either way
- Nudge Lower band by ±10 % and Frequency Band Comparison lands between 9.8 dB and 11.6 dB (sensitivity ≈8.6 %)
Higher band is the dominant lever here: ten percent either way moves the result by about 8.6 %, from 9.7 dB to 11.5 dB. Spend your verification effort there first, and Lower band is effectively tied with it (≈8.6 % for the same nudge), so verify the pair together. The remaining fields can sit at safe defaults without materially changing the answer — knowing which is which is what separates a careful calculation from an anxious one.
Reading the result: bands, zones and thresholds
The value above only becomes useful the moment you know what it is being measured against. The default case lands in the “Real gap — plan 5 GHz cells” band, and bands are deliberately wide because real situations overlap. Before treating the band as fact, note its width: ten percent either way on Higher band already spans 9.7 dB to 11.5 dB. The practical reading rules: ask what would have to change to move you one band. If the answer is “a small, plausible input difference”, the band itself is not the finding — the uncertainty is.
Where Frequency Band Comparison sits next to similar measures: this tool answers “how much is the Frequency Band Comparison”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.
The errors that quietly break a Frequency Band Comparison figure
Higher bands buy speed too: the “worse” coverage cell usually carries 2–4× the throughput, which is why the right answer is both. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Reusing a Frequency Band Comparison from last season. In Technology & Computing the inputs are the thing that drifts; the formula does not.
One mistake is specific to this engine: assuming every input matters equally. The computation above shows Higher band dominating — a careful figure there beats false precision everywhere else.
A final trap is presentation: reporting Frequency Band Comparison to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.
Six things to confirm before acting on Frequency Band Comparison
- Compare the result with one independent method or published benchmark.
- Validate inputs against a live measurement, not datasheet peak figures.
- Put Higher band under a magnifier; the sensitivity table above is the reason why.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Confirm the answer against one independent method or published benchmark for Frequency Band Comparison.
A routine for decision-grade Frequency Band Comparison
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — start from evidence. The inputs behind Frequency Band Comparison are lower band (mhz), higher band (mhz), path distance (m), walls in path. Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. One decimal place more than your data supports is one decimal place of fiction.
Step 2 — enter the conservative case first. Resist the flattering scenario. Type the inputs you would defend in front of a sceptical reader, read the Free-space + wall penalty of higher band (10.7 dB for the example values), and note the verdict band. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 3 — change one input at a time. Nudge a single field by ten percent, watch the headline and its companions move, then undo it. Two or three fields will dominate — the sensitivity table above already ranks them for this engine. Say the answer out loud before you save it; if it sounds wrong, the model did not change, your understanding did.
Step 4 — ask what would have to be true. Take the result you want and work backwards through the inputs until you find the assumption that produces it; then decide honestly whether that assumption is defensible. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 5 — write the one-line memo. “Free-space + wall penalty of higher band = 10.7 dB on this date, from these inputs.” That line is the entire deliverable; everything else on this page is how you earned the right to write it. A calculation you cannot explain to somebody else is a calculation you cannot defend.
Where Frequency Band Comparison matters in practice
Numbers earn their keep in conversations, and Frequency Band Comparison is no exception. In Technology & Computing discussions around Networks & Storage, this figure decides whether an option stays on the table: it converts an opinionated debate into an arithmetic one, and arithmetic is the only referee both sides accept. Suspiciously tidy answers deserve the same scrutiny as untidy ones.
Professionals in Networks & Storage use this style of calculation as a screening filter before spending real money or effort: a quick Frequency Band Comparison check eliminates weak options in minutes, and the survivors earn the deeper, slower analysis. When two sources disagree, it is almost never the arithmetic that differs.
There is a personal-administration use people overlook: periodic self-checking. Frequency Band Comparison quietly drifts as life changes — rates move, bodies change, costs compound — and re-running it a few times a year catches drift while correction is still cheap. Comparisons are cheap: run the identical calculation for the alternative and look at the gap.
The questions that come up most about Frequency Band Comparison
What affects Frequency Band Comparison the most?
Frequency Band Comparison is driven above all by Higher band. Perturbing only that field by ten percent either way produced 11.5 dB against the 10.7 dB baseline — a ≈8.6 % response, while Lower band manages ≈8.6 %.
Do lower band and higher band matter equally?
Frequency Band Comparison here is co-driven: Higher band and Lower band produced ≈8.6 % and ≈8.6 % responses, which is a tie for practical purposes. Everything below those two is a rounding error by comparison.
How much does the “Walls in path” choice change the answer?
Across every option this tool offers, the free-space + wall penalty of higher band ranges from 7.7 dB (0) to 13.7 dB (2+ / brick) with all other inputs held at their example values. The per-option table is printed in the inputs section — this is a decision that genuinely moves the number, not a cosmetic dropdown.
What is a typical Frequency Band Comparison?
On the worked example above Frequency Band Comparison comes out at 10.7 dB. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.
How do I calculate Frequency Band Comparison by hand?
Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band is the entire method. Work the inputs in that order — FSPL(20logf): Δ = 20 log(5,800/2,400) = 7.7 dB — and you will reach 10.7 dB on the default figures, the same number this tool prints.
What happens to Frequency Band Comparison if higher band changes by 10 %?
The engine was re-run with that field moved by ten percent while everything else stayed fixed: the free-space + wall penalty of higher band goes across 9.7 dB to 11.5 dB, a swing of roughly 8.6 % around the 10.7 dB baseline. That ratio is the practical definition of how much this input matters.
Is the Frequency Band Comparison result of 10.7 dB good or bad?
The tool answers “what”, not “whether”: 10.7 dB carries the verdict “Real gap — plan 5 GHz cells” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
How often should I check Frequency Band Comparison?
Whenever an input changes by more than a few percent, and otherwise on the rhythm of your decisions — before a purchase, a review, a renewal. Frequency Band Comparison is a snapshot, not a subscription; stale snapshots are the most common silent error in Technology & Computing planning.
Is Frequency Band Comparison accurate?
The arithmetic is exact: Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band is evaluated with full floating-point precision and every substitution is printed in the worked example. What limits accuracy is input quality and the model’s assumptions, so treat the 10.7 dB result as the correct answer to the question you typed — and check the assumptions section before acting on it.
Is 6 GHz like 5 GHz for coverage?
Nearly identical radio behavior — the wall curve barely moves again from 5 to 6; the big cliff was 2.4 to 5.
Does beamforming fix the gap?
It recovers a few dB of the differential, enough for one wall, not enough for the corner suite.
Is my data private on this page?
Yes — computation happens locally in your browser, with no account, no tracking of your inputs and nothing sent to a server. The printed formula is the whole story of what happens to your figures.
Key terms on this page
- Pure free-space delta
- 7.7 dB for the Frequency Band Comparison worked case; it sits next to the main result because it carries context the headline leaves out.
- Extra wall penalty
- 3.0 dB on the example inputs — a companion figure printed beside the headline of Frequency Band Comparison so that no result is read in isolation.
- Equivalently slower at range by
- 11.65 × path for the Frequency Band Comparison worked case; it sits next to the main result because it carries context the headline leaves out.
- Free-space + wall penalty of higher band
- The primary output of this tool: 10.7 dB for the default inputs, computed exactly from Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band.
- Worked example
- Every substitution in order, from the example inputs to 10.7 dB — the audit trail for the headline figure.
- Verdict band
- The plain-language label — here “Real gap — plan 5 GHz cells” — mapping the computed figure onto experience-based ranges for Technology & Computing.
- Sensitivity (±10 %)
- How far the Frequency Band Comparison moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
The provenance of this Frequency Band Comparison calculation
Everything above runs on one stated formula, applied without hidden coefficients: Δ path loss = 20 log(f2/f1); penetration adds wall × material dB gap per band. Source of record: Friis free-space path-loss law; ITU-R P.2040 indoor material loss tables. Where a professional version of this calculation differs, it differs in inputs and jurisdiction-specific coefficients, not in the algebra — which is why re-checking your inputs beats hunting for a second calculator.
This page is an estimation aid, not professional advice. The design rule is simple: two people entering identical figures must get identical answers. What that buys you is reproducibility — two people, two browsers, the same arithmetic, and a printed trail from inputs to result that either of them can audit.
Turning this Frequency Band Comparison into a decision
Save the number together with its inputs and today’s date; a Frequency Band Comparison figure without context is unusable the moment an input changes.
This page was written for people who need one trustworthy number before their next decision, and the promise is that nothing above required trust. Bookmark the tool, re-run it whenever an input moves by more than a few percent, and keep the date with the number.