QAM

Quadrature Amplitude Modulation

Physical Layer →
Introduced in Rel-8

QAM is a modulation scheme fundamental to modern wireless networks that conveys data by varying both the amplitude and phase of a carrier wave to enable high spectral efficiency.

Category
Physical Layer
Introduced
Rel-8
Where
Radio Access Network › NG-RAN (5G)
Specifications
39 specs
QAM Description Purpose Related Classification Detected Changes Specifications

Description

Quadrature Amplitude Modulation (QAM) is a sophisticated modulation technique used extensively in 3GPP radio access technologies, including LTE and NR. It operates by modulating two carrier waves, typically 90 degrees out of phase (in quadrature), which are referred to as the In-phase (I) and Quadrature (Q) components. By independently varying the amplitude of each of these carriers, a constellation of discrete points is created on the I-Q plane. Each point in this constellation represents a unique symbol that encodes a specific sequence of bits. The number of points in the constellation defines the order of the QAM; for example, 16QAM has 16 points, representing 4 bits per symbol, while 64QAM represents 6 bits per symbol, and 1024QAM represents 10 bits per symbol.

The implementation of QAM within the 3GPP physical layer involves several key components and processes. The baseband processing chain maps incoming bit streams to complex-valued modulation symbols according to the chosen QAM constellation. These symbols are then subjected to further processing such as layer mapping for MIMO, precoding, and resource element mapping onto the Orthogonal Frequency Division Multiplexing (OFDM) or DFT-s-OFDM waveform's time-frequency grid. The specific QAM order used for a transmission is dynamically selected by the network's link adaptation algorithms based on real-time channel quality indicators (CQI) reported by the User Equipment (UE). This adaptive modulation ensures optimal throughput by using higher-order QAM (e.g., 256QAM) under excellent signal conditions and falling back to more robust, lower-order schemes (e.g., QPSK) in poor conditions.

QAM's role is central to the air interface's data transmission capabilities. Its spectral efficiency—the ability to pack more bits into a given bandwidth—directly scales with the logarithm of the constellation order. This makes the progression to higher-order QAM a primary method for increasing peak data rates across successive 3GPP releases. Support for QAM is defined in detail across numerous technical specifications governing base station and UE radio transmission and reception characteristics (e.g., 36.104, 38.104), performance requirements (e.g., 36.141, 38.141), and conformance testing procedures (e.g., 36.521, 38.521). The specifications define everything from the exact constellation point coordinates and normalization factors to the error vector magnitude (EVM) requirements necessary for transmitters to maintain signal integrity.

Purpose & Motivation

QAM exists to maximize the data throughput over a limited and expensive radio spectrum. The core problem it addresses is the need for high spectral efficiency—transmitting the maximum number of bits per second per Hertz of bandwidth. Before the widespread adoption of higher-order QAM, simpler modulation schemes like Phase Shift Keying (PSK) or lower-order QAM were used, which offered robustness but limited peak data rates. As user demand for mobile broadband exploded, these older schemes became a bottleneck.

The motivation for incorporating increasingly higher orders of QAM in 3GPP standards was driven by the continuous pursuit of higher peak data rates and network capacity. Each new release, from LTE's introduction of 64QAM to the support of 256QAM in LTE-Advanced and 1024QAM in 5G NR, was a direct response to market demands for faster downloads, higher-quality video streaming, and support for data-intensive applications. The evolution was enabled by advancements in radio frequency component technology, improved error correction codes (like LDPC), and more sophisticated receiver algorithms that could reliably demodulate dense constellations previously considered too susceptible to noise and interference.

Classification

Part ofOFDM
Related approachesMIMO

Release Timeline

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (1 CRs across 1 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Rel-17 1 change

In Release 17, the primary enhancement for QAM was the introduction of Downlink (DL) 1024 QAM in NR (New Radio). This specifically increased the maximum modulation order for the downlink direction, enabling higher peak data rates under favorable channel conditions. The change is defined by the CR titled "Introduction of DL 1024 QAM in NR."

  • Introduction of DL 1024 QAM in NR TS 38.300CR0420

Explore further

Broader topics and technologies where QAM plays a role.

Defining Specifications

3GPP specifications that define or reference QAM, with the latest known release. Sourced from the 3GPP document catalog — see methodology.

SpecificationTitleRelease
TR 21.905 vj00 3GPP Technical Terms and Definitions Rel-19
TS 25.123 vj00 Radio Resource Management for TDD Rel-19
TS 25.133 vj00 UTRAN RRM Requirements for FDD Rel-19
TS 25.766 vd10 Network-Assisted Interference Cancellation for UMTS Rel-13
TR 25.912 vj00 Evolved UTRA and UTRAN Technical Report Rel-19
TS 36.102 vj10 E-UTRA UE Satellite Access RF Requirements Rel-19
TS 36.104 vj10 Base Station (BS) radio transmission and reception Rel-19
TS 36.108 vj10 Satellite Access Node RF Requirements Rel-19
TS 36.116 vj00 E-UTRA Relay RF Requirements Rel-19
TS 36.117 vj00 E-UTRA Relay RF Test Methods & Requirements Rel-19
TS 36.133 vj20 E-UTRA RRM Requirements Rel-19
TS 36.141 vj00 E-UTRA BS Conformance Testing Rel-19
TS 36.181 vj30 E-UTRA RF Test Methods for Satellite Access Node Rel-19
TS 36.201 vj00 LTE Physical Layer General Description Rel-19
TS 36.300 vj00 E-UTRAN Radio Interface Protocol Architecture Overview Rel-19
TS 36.302 vj00 E-UTRA Physical Layer Services Rel-19
TS 36.521 vj00 E-UTRA UE Conformance ICS Proforma Rel-19
TS 37.141 vj10 RF Test Methods for Multi-Standard Radio Base Stations Rel-19
TS 37.145 vj10 AAS Base Station Conducted Conformance Testing Rel-19
TS 37.802 va10 MSR BS RF Requirements for Non-Contiguous Spectrum Rel-10
TR 37.900 vj00 Multi-Standard Radio (MSR) Base Station Requirements Rel-19
TR 37.901 vf10 UE Application Layer Data Throughput Performance Rel-15
TS 38.101 vj31 NR User Equipment Radio Transmissions Rel-19
TS 38.104 vj20 NR Base Station RF Requirements Rel-19
TS 38.106 vj20 NR Repeater Radio Transmission and Reception Rel-19
TS 38.108 vj20 NTN NR Satellite Access Node RF Requirements Rel-19
TS 38.115 vj20 NR Repeater RF Conformance Testing Part 1 Rel-19
TS 38.174 vj10 NR Integrated Access and Backhaul Radio Spec Rel-19
TS 38.176 vj20 IAB Conformance Testing Specification Rel-19
TS 38.181 vj10 NR Satellite Access Node RF Testing Rel-19
TS 38.201 vj00 NR Physical Layer General Description Rel-19
TS 38.300 vj00 NG-RAN Overall Description Rel-19
TS 38.521 vj20 NR Physical Layer UE Conformance Testing Rel-19
TS 38.522 vj11 UE Conformance Test Applicability Statement Rel-19
TS 38.741 vj00 NTN L-/S-band for NR Technical Specification Rel-19
TS 38.863 vj10 NR NTN RF and Co-existence Spec Rel-19
TR 38.878 vi40 Technical Report on Advanced Receiver for MU-MIMO Rel-18
TR 38.903 vj00 Test Tolerances & Measurement Uncertainties Rel-19
TR 45.914 vj00 MUROS Feasibility Study for Voice Capacity Rel-19
Patrick Zandl

About the author: Patrick Zandl (b. 1974)

Telecommunications specialist, technology journalist (founder of the Mobil server), and developer who has been running since 2025 — the largest Czech-language resource on AI-assisted programming. Formerly Chief Wizard Architect at Prusa3D and head of development for Turris at CZ.NIC; currently a consultant and instructor on AI implementation in companies.