IEEE 1914.3-2023

Current Revision
IEEE Standard for Radio over Ethernet Encapsulations and Mappings

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IEEE 1914.3-2023

IEEE Standard for Radio over Ethernet Encapsulations and Mappings

PUBLISH DATE 2024
PAGES 244
IEEE 1914.3-2023

Revision Standard - Active.

The encapsulation and mapping of radio protocols transported over Ethernet frames and Internet Protocol (IP) packets and the operation of the mappers and de-mappers are defined in this standard.

Structure-agnostic definitions are provided for any digitized radio data.

Structure-aware definitions are provided for the Common Public Radio Interface (CPRIβ„’).

Native mode definitions are provided for normal and compressed digitized radio in-phase and quadrature (I/Q) payload.

Specifications are provided for parameters, control messages, and mechanisms that help operate, administrate, and maintain the mapping and demapping functions.

A management model and a YANG data model are defined.

This standard defines the encapsulation and mapping of radio protocols transported over Ethernet frames and Internet Protocol (IP) packets and the operation of mappers and de-mappers.

Structure-agnostic definitions are provided for any digitized radio data. Structure-aware definitions are provided for the Common Public Radio Interface (CPRIβ„’). Native mode definitions are provided for normal and compressed digitized radio in-phase and quadrature (I/Q) payload.

Specifications are provided for parameters, control messages, and mechanisms that are used to operate, administrate, and maintain mappers and de-mappers.

A management model and a YANG data model are defined.

This standard enables the transfer of radio data (e.g., user-plane data, vendor-specific data, and control and management information) across an Ethernet and/or IP-based packet network.

The standard fosters interoperability among implementations by defining:

  • common information formats,
  • information encapsulation,
  • operation, administration, and maintenance processes and mechanisms, and
  • management and YANG data models.
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