QAM
Quadrature amplitude modulation varies both amplitude and phase to pack many bits per symbol. Learn I/Q representation, square constellations (16-, 64-, 256-, 1024-QAM), spectral efficiency, symbol error rate and required SNR, EVM, adaptive modulation, and OFDM with QAM in Wi-Fi, LTE/5G and cable.
Wi-Fi 6 uses up to 1024-QAM (10 bits per symbol), 5G up to 256-QAM, and cable DOCSIS up to 4096-QAM. Higher orders deliver more throughput in the same bandwidth — if the signal is clean enough.
An analogy
QAM is like a chessboard of points: each square represents a bit pattern. More squares carry more bits, but noise can make you land on the wrong square.
I/Q
Two carriers 90° apart (cosine and sine) are independently amplitude-modulated and added. Each symbol is a point (I, Q) in the constellation.
Higher orders
Each doubling of M adds one bit per symbol but needs ≈ 3 dB more SNR (≈ 6 dB per extra bit on each axis). 16-QAM ≈ 17 dB, 64-QAM ≈ 23 dB, 256-QAM ≈ 29 dB SNR for low error rates (uncoded).
Adaptive modulation
Links measure channel quality and switch modulation and coding (MCS) on the fly — QPSK at cell edge, 256-QAM near the tower — maximising throughput.
OFDM and impairments
OFDM splits a wide channel into thousands of QAM subcarriers, making multipath manageable with a cyclic prefix. Phase noise, PA non-linearity, IQ imbalance and quantisation limit achievable EVM for high-order QAM.
Formulas
- QAM signal:
s(t) = I(t) cos ω_c t − Q(t) sin ω_c t - Bits per symbol:
k = log₂ M - Spectral efficiency:
η = log₂ M / (1 + α) - SER (square M-QAM):
P_s ≈ 4(1 − 1/√M) Q(√(3 SNR/(M − 1))) - EVM ↔ SNR:
SNR ≈ −20 log₁₀(EVM_rms)
Worked example: Symbol rate for 100 Mbps
Given: 64-QAM
Find: Symbol rate.
- k = 6
- R_s = 100/6 = 16.7 Mbaud
Answer: 16.7 Mbaud
Worked example: SNR needed
Given: Shannon limit for 6 bit/s/Hz
Find: Minimum SNR.
- SNR = 2⁶ − 1 = 63 → 18 dB
Answer: 18 dB theoretical minimum (real 64-QAM ≈ 22–25 dB)
Common mistakes
- Wrong: Choosing the highest QAM regardless of SNR. — Right: Match MCS to channel quality.
- Wrong: Ignoring transmitter EVM. — Right: EVM limits achievable QAM order.
Applications
- Wi-Fi 6/7: 1024/4096-QAM OFDM.
- 4G/5G: Adaptive QPSK–256-QAM.
- Cable & microwave backhaul: Very high-order QAM.
Key takeaways
- QAM = amplitude + phase (I/Q).
- k = log₂ M bits per symbol.
- ≈ 3 dB more SNR per doubling of M.
- Adaptive MCS and OFDM in modern systems.
Going further
- Probabilistic shaping: Non-uniform constellations approaching Shannon.
- MIMO: Spatial streams multiply throughput.
- DPD: Digital predistortion for PA linearity.