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

Worked example: Symbol rate for 100 Mbps

Given: 64-QAM

Find: Symbol rate.

Answer: 16.7 Mbaud

Worked example: SNR needed

Given: Shannon limit for 6 bit/s/Hz

Find: Minimum SNR.

Answer: 18 dB theoretical minimum (real 64-QAM ≈ 22–25 dB)

Common mistakes

Applications

Key takeaways

Going further