SBA

Scene-Based Audio (Ambisonics)

Services →
Introduced in Rel-14 Also in: Core Network, Security

SBA is a 3D audio format standardized by 3GPP for capturing and reproducing a full spherical sound field using spherical harmonics, enabling immersive audio for delivery over mobile networks.

Category
Services
Introduced
Rel-14
Where
Services › Codecs
Also touches
2 segments
Specifications
22 specs
SBA Description Purpose Related Detected Changes Specifications

Description

Scene-Based Audio (SBA), specifically based on the Ambisonics technique, is a full-sphere surround sound format that captures and represents a three-dimensional sound field. Unlike channel-based audio (e.g., 5.1, 7.1.4) which encodes audio for specific speaker positions, or object-based audio (e.g., MPEG-H) which encodes individual sound objects with metadata, SBA encodes the sound field itself as a set of spherical harmonic components. This mathematical representation describes the pressure and velocity of sound waves at a point in space, allowing for the reconstruction of the original sound field over a variety of playback systems, from headphones with binaural rendering to complex speaker arrays.

The core of SBA is the B-format signal, which consists of at least four channels: W (omnidirectional pressure), and X, Y, Z (the three orthogonal figure-of-eight components representing pressure gradients). This first-order Ambisonics (FOA) can be extended to higher-order Ambisonics (HOA) by including more spherical harmonic components, which increases the spatial resolution and accuracy of the reconstructed sound field, particularly for elevated sounds and more precise localization. The 3GPP standardization focuses on efficiently compressing, transporting, and rendering these Ambisonics components within media services, such as streaming for virtual reality (VR), augmented reality (AR), and 360-degree video.

Within the 3GPP architecture, SBA is integrated into the media delivery pipeline. The specifications define how SBA content is encapsulated in media containers (like ISOBMFF), compressed using audio codecs (with specific handling for the spherical harmonic channels), and described in media presentation descriptions. A key aspect is the support for dynamic rendering: the SBA bitstream, containing the sound field coefficients, is delivered to the client device. The device's audio renderer then uses a set of decoding matrices, potentially tailored to the user's specific head orientation (tracked via head-mounted displays) and output setup (headphones or speakers), to binauralize or decode the audio for immersive playback. This allows for six degrees of freedom (6DoF) audio where the listener can move within the sound scene.

3GPP's work on SBA involves multiple technical specifications (TS) covering codecs, file formats, system protocols, and security. It ensures interoperability for immersive audio services across different networks and devices. The specifications also address metadata for coordinating SBA with 360-degree video, ensuring audio-visual synchronization as the user's viewpoint changes. This makes SBA a foundational technology for delivering next-generation, interactive media experiences over 5G and beyond networks.

Purpose & Motivation

Scene-Based Audio (Ambisonics) was standardized by 3GPP to address the growing market for immersive media, particularly driven by virtual and augmented reality. Traditional channel-based audio is tied to fixed speaker configurations and cannot adapt to user head movement or different playback environments. Object-based audio provides flexibility but requires significant metadata and computational power for rendering many objects. SBA was motivated by the need for a format that inherently describes a complete sound scene in a compact, playback-agnostic manner.

The historical context is the rise of 360-degree video and VR content. Early VR experiences often used basic binaural audio or simple multi-channel mixes, which broke immersion when the user turned their head. Ambisonics, a decades-old academic concept, was identified as a suitable solution because it encodes the sound field mathematically. 3GPP's role was to standardize its use in a telecommunications ecosystem, solving the problems of efficient compression for transmission over bandwidth-constrained mobile networks and defining how clients receive and render the audio in sync with video.

It addresses key limitations of previous audio formats for immersive applications. Channel-based audio lacks adaptability. Object-based audio can become computationally complex for dense scenes. SBA provides a sweet spot: a scene description that is relatively compact, independent of the output setup, and perfectly suited for head-tracked binaural rendering, which is essential for VR. Its standardization enables content creators to produce a single audio stream that works on any compliant device, from mobile phones with headphones to dedicated VR systems, fostering an interoperable ecosystem for immersive 3GPP media services.

Release Timeline

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (4 CRs across 2 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Rel-15 2 changes

In Release 15, the SBA (Scene-Based Audio (Ambisonics)) function was introduced with its scope formally clarified. The release also specified the inclusion of a Message Priority header to enable priority indication over SBA interfaces. This allowed the SEALDD server, acting as an Application Function, to consume 5G Core Network services within the Service-Based Architecture.

  • SBA Scope Clarification TS 23.501CR0157
  • Priority indication over SBA interfaces via Message Priority header TS 23.501CR0672
Rel-16 2 changes

In Release 16, the new aspects for Scene-Based Audio (Ambisonics) included the formal addition of general SBA/SBI (Scene-Based Audio / Scene-Based Information) aspects within the security specification TS 33.117. This addition was then referenced in the specification for application layer security, TS 33.514, to integrate these general SBA/SBI aspects into the broader security framework for services like those provided by a SEALDD server acting as an Application Function.

  • Addition of General SBA/SBI aspects in TS 33.117 TS 33.117CR0047
  • Reference of general SBA/SBI aspect in 33.514 TS 33.514CR0004

Explore further

Broader topics and technologies where SBA plays a role.

Defining Specifications

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

SpecificationTitleRelease
TS 23.433 vk00 SEAL Data Delivery (SEALDD) for Verticals Rel-20
TS 23.501 vk00 5G System Architecture Stage 2 Rel-20
TS 23.540 vj20 5G Service Based SMS Stage 2 Rel-19
TS 23.700 vk00 XR Services Application Enablement Layer Rel-20
TS 24.229 vj50 IMS call control protocol based on SIP and SDP Rel-19
TS 26.253 vj00 IVAS Codec Algorithmic Description Rel-19
TS 26.255 vj00 IVAS Frame Loss Concealment Procedure Rel-19
TS 26.258 vj10 IVAS Codec Floating-Point C Code Specification Rel-19
TS 26.260 vj00 Immersive Audio Objective Test Methods Rel-19
TS 26.261 vj00 Electro-acoustic specs for immersive terminals Rel-19
TS 26.501 vj30 5G Media Streaming (5GMS) Architecture Rel-19
TR 26.918 vj00 Virtual Reality Relevance Study for 3GPP Rel-19
TR 26.997 vj00 IVAS Codec Specification Rel-19
TS 28.541 vk00 5G Network Resource Model (NRM) Stage 2/3 Rel-20
TS 29.309 vj10 Nbsp Service Based Interface for GBA BSF Rel-19
TR 29.829 vh10 SMS Service-Based Interfaces for 5G Core Rel-17
TS 33.117 vk00 Catalogue of General Security Assurance Requirements Rel-20
TS 33.514 vk00 5G Security Assurance for UDM Rel-20
TS 33.794 vj10 Study on Zero Trust Security Enablers for 5G Rel-19
TS 33.835 vg10 Study on authentication and key management for apps Rel-16
TR 33.841 vg10 Security aspects; Study on 256-bit algorithms for 5G Rel-16
TR 33.848 vi00 Technical Report on Virtualisation Security Rel-18
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.