Compensating power amplifier distortion
AssigneeNokia Technologies Oy
InventorsSamad ALI, Oskari TERVO, Esa Tapani TIIROLA, Kari Pekka PAJUKOSKI
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Abstract
Disclosed is a method comprising selecting (401), by a base station, a power amplifier distortion model from a set of power amplifier distortion models, wherein the power amplifier distortion model comprises a pre-trained machine learning model configured to compensate power amplifier distortion. The method further comprises receiving (402), by the base station, one or more uplink data transmissions from a terminal device, and compensating (403), by the base station, at least a part of the power amplifier distortion from the one or more uplink data transmissions based at least partly on the power amplifier distortion model.
Claims18
An apparatus comprising at least one processor, and at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to:
- select a power amplifier distortion model from a set of power amplifier distortion models, wherein the power amplifier distortion model comprises a pre-trained machine learning model configured to compensate power amplifier distortion;
- receive one or more uplink data transmissions from a terminal device;
- and
- compensate at least a part of the power amplifier distortion from the one or more uplink data transmissions based at least partly on the power amplifier distortion model.
An apparatus comprising at least one processor, and at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to:
- transmit, to a base station, a first indication indicating a capability to support machine learning based power amplifier distortion compensation at the base station;
- wherein the first indication comprises at least one of:
- an identifier of a power amplifier comprised in the apparatus, an identifier of a power amplifier distortion model associated with the power amplifier, an identifier of a power amplifier model associated with the power amplifier, and/or one or more operating conditions associated with the power amplifier;
- and
- receive, from the base station, a second indication indicating to operate the power amplifier according to a reduced power backoff and/or a reduced maximum power reduction.
A method comprising:
- selecting, by a base station, a power amplifier distortion model from a set of power amplifier distortion models, wherein the power amplifier distortion model comprises a pre-trained machine learning model configured to compensate power amplifier distortion;
- receiving, by the base station, one or more uplink data transmissions from a terminal device;
- and
- compensating, by the base station, at least a part of the power amplifier distortion from the one or more uplink data transmissions based at least partly on the power amplifier distortion model.
-17. (canceled)
Dependencies are inferred from the claim text.