Wireless 101
M09 · L02
Module 9 · Lesson 2

Is One Error in a Million Good Enough?

M5-L2 gave you the formulas. This lesson asks what the Q in them is, how steep the curve is, and what BER is actually acceptable. The answer to the last one is not what you expect.

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Wireless 101
M09 · L02
Definition

A Probability, Not a Count

BER is expected bit errors divided by bits sent — so a measurement only estimates it. Poisson statistics say you need about 100 errors for 10% confidence, because 1/√100 = 0.1.

Target
10⁻⁹
Bits needed
10¹¹
At 1 Gbps
100 s

At 1 Mbps the same test takes 27.8 hours. Below 10−9, BER is extrapolated from the curve — never measured directly.

02 / 11
Wireless 101
M09 · L02
The number that matters

1.2% of Packets Are Gone

Packet error rate from BER
\text{PER} = 1-(1-p)^{L} \approx 1 - e^{-Lp}

A 1500-byte frame is L = 12,000 bits. At p = 10−6, Lp = 0.012 and PER = 1 − e−0.012 = 1.19 × 10−2. “One in a million” loses one packet in eighty-four.

03 / 11
Wireless 101
M09 · L02
Three anchors worth memorising

The Gaussian Tail

Q(x) is the probability a standard normal exceeds x — and x is a distance in standard deviations, exactly the dmin/2σ of M5-L3.

Q(3)
1.35e−3
Q(4.753)
1.0e−6
Q(5.998)
1.0e−9

Three more decades of reliability cost only 1.245 more in x — 26% further from the decision boundary.

04 / 11
Wireless 101
M09 · L02
How to compute it

Q Has No Closed Form

erfc identity and large-x approximation
Q(x) = \tfrac{1}{2}\mathrm{erfc}\!\left(\tfrac{x}{\sqrt{2}}\right) \;\approx\; \tfrac{e^{-x^2/2}}{x\sqrt{2\pi}}

The identity is exact; the approximation runs +9.4% high at x = 3 and +2.6% at x = 6. Q(0) = 0.5 and Q(x) + Q(−x) = 1 come free from symmetry.

05 / 11
Wireless 101
M09 · L02
Try it — real Q-function

The Waterfall Plotter

Slide the operating point along both curves, set a target, and watch the 3 dB gap stay constant.

Eb/N0 10.5 dB
Target BER 1e−6
Coding gain 0 dB
PSK 1.1e−6 OOK 4.0e−4 need 10.53 / 13.54 dB gap 3.01 dB PSK misses target
06 / 11
Wireless 101
M09 · L02
Inverting the law

What the Link Must Deliver

Required Eb/N0 for a target BER
\tfrac{E_b}{N_0} = \tfrac{1}{2}\left[Q^{-1}(P_b)\right]^2
  • 10−3: Q⁻¹ = 3.0902 → 4.775 → 6.79 dB
  • 10−6: 4.7534 → 11.298 → 10.53 dB — M6-L4’s 10.5 dB ✓
  • 10−9: 5.9978 → 17.987 → 12.55 dB
  • OOK/BFSK: exactly +3.01 dB at every target
07 / 11
Wireless 101
M09 · L02
Closing a loop from M5-L1

The Waterfall Is the Cliff

Near 10−6 one decibel is worth a whole decade of BER. Read that backwards: lose 1 dB and your errors multiply by ten; lose 3 dB and they multiply by a thousand.

10⁻⁵→10⁻⁶
0.94 dB
10⁻⁸→10⁻⁹
0.58 dB
10⁻²→10⁻³
2.47 dB

There is no separate cliff mechanism. Analog loses 3 dB and gets 3 dB noisier; digital loses 3 dB and gets a thousand times wronger.

08 / 11
Wireless 101
M09 · L02
Coding gain & the real target

Nobody Optimises Raw BER

  • Classical FEC: 5–8 dB of gain at 10−6
  • LDPC and turbo (M6-L1): 10–11 dB
  • Rate-1/2 ceiling at 10−9: 12.55 − (−0.82) = 13.37 dB
  • Paid for in bandwidth, rate and delay
  • LTE and 5G target ~10% first-try BLER and let HARQ repair it

A link that never errs was running below capacity. Raw BER is an input to a code, not a goal.

09 / 11
Wireless 101
Knowledge Check

Check what stuck

Four questions from this lesson. Answer to see why — the explanation appears whether you were right or wrong. Nothing is scored or saved.

Question 1 of 0
Score 0/0

10 / 11
Wireless 101
M09 · L02
Recap

What you learned

  • BER is a probability; 10−9 needs 1011 bits to measure
  • PER ≈ 1 − e−Lp: 10−6 costs 1.2% of packets
  • Q(4.753) = 10−6, Q(5.998) = 10−9
  • Eb/N0 = ½[Q⁻¹(P)]²: 10.53 dB at 10−6
  • The waterfall’s steepness is the cliff effect
Up next in Module 9
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