Device and method for reliable classification of wireless signals
US-11611457-B2 · Mar 21, 2023 · US
US2022360973A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022360973-A1 |
| Application number | US-202117308970-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 5, 2021 |
| Priority date | May 5, 2021 |
| Publication date | Nov 10, 2022 |
| Grant date | — |
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This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for a UE capability for AI/ML. A UE may receive a request from a network to report a UE capability for at least one of an AI procedure or an ML procedure. The UE may transmit to the network, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure.
Opening claim text (preview).
What is claimed is: 1 . An apparatus for wireless communication at a user equipment (UE), comprising: a memory; and at least one processor coupled to the memory and configured to: receive a request to report a UE capability for at least one of an artificial intelligence (AI) procedure or a machine learning (ML) procedure; and transmit, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure. 2 . The apparatus of claim 1 , wherein the memory and the at least one processor are configured to transmit at least one of the AI capability or the ML capability, and wherein transmission of the indication indicates at least one of a processing capability, a memory capability, a hardware acceleration capability, a stored library, a stored model format, a stored model, a maximum concurrency capability, a model combination, a tested model combination, or quantization. 3 . The apparatus of claim 1 , wherein the memory and the at least one processor are configured to transmit the radio capability associated with the at least one of the AI procedure or the ML procedure for one or more access stratum (AS) procedures. 4 . The apparatus of claim 3 , wherein the memory and the at least one processor are configured to transmit a separate indication for each AS function for which the UE supports the AI procedure or the ML procedure. 5 . The apparatus of claim 1 , wherein the memory and the at least one processor are configured to transmit the core network capability for one or more of a mobility management (MM) procedure or a session management (SM) procedure. 6 . The apparatus of claim 5 , wherein the memory and the at least one processor are configured to transmit a separate indication for each MM function or SM function for which the UE supports the AI procedure or the ML procedure. 7 . The apparatus of claim 1 , wherein the indication of at least one of the AI capability or the ML capability is included in the indication of the radio capability. 8 . The apparatus of claim 7 , wherein the indication of the at least one of the AI capability or the ML capability included in the indication of the radio capability indicates a radio capability identifier (ID) that corresponds to the at least one of the AI capability or the ML capability. 9 . The apparatus of claim 1 , wherein the indication of at least one of the AI capability or the ML capability is included in the indication of the core network capability. 10 . The apparatus of claim 1 , wherein the indication of at least one of the AI capability or the ML capability is transmitted separately from the indication of the radio capability and the indication of the core network capability. 11 . The apparatus of claim 10 , wherein the indication of the at least one of the AI capability or the ML capability is transmitted in a separate information element (IE) from the indication of the radio capability and the indication of the core network capability, the separate IE transmitted together with at least one of the indication of the radio capability or the indication of the core network capability. 12 . The apparatus of claim 10 , wherein at least one of the request to report the UE capability or the indication of the one or more of the AI capability, the ML capability, the radio capability, or the core network capability is comprised in a radio resource control (RRC) message or a non-access stratum (NAS) message. 13 . The apparatus of claim 1 , wherein transmission of the indication indicates a first portion of the at least one of the AI capability or the ML capability for an access stratum (AS) and indicates a second portion of the at least one of the AI capability or the ML capability for a non-access stratum (NAS). 14 . The apparatus of claim 1 , wherein the UE capability is for channel state information (CSI) feedback. 15 . An apparatus for wireless communication at a wireless network, comprising: a memory; and at least one processor coupled to the memory and configured to: transmit a request to report a user equipment (UE) capability for at least one of an artificial intelligence (AI) procedure or a machine learning (ML) procedure; and receive, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure. 16 . The apparatus of claim 15 , wherein the memory and the at least one processor are configured to receive at least one of the AI capability or the ML capability indicating at least one of a processing capability, a memory capability, a hardware acceleration capability, a stored library, a stored model format, a stored model, a maximum concurrency capability, a model combination, a tested model combination, or quantization. 17 . The apparatus of claim 15 , wherein the memory and the at least one processor are configured to receive the radio capability associated with the at least one of the AI capability or the ML capability for one or more access stratum (AS) procedures. 18 . The apparatus of claim 17 , wherein the memory and the at least one processor are configured to receive a separate indication for each AS function for which the UE supports the AI procedure or the ML procedure. 19 . The apparatus of claim 15 , wherein the memory and the at least one processor are configured to receive the core network capability for one or more of a mobility management (MM) procedure or a session management (SM) procedure. 20 . The apparatus of claim 19 , wherein the memory and the at least one processor are configured to receive a separate indication for each MM function or SM function for which the UE supports the AI procedure or the ML procedure. 21 . The apparatus of claim 15 , wherein the indication of at least one of the AI capability or the ML capability is included in the indication of the radio capability. 22 . The apparatus of claim 21 , wherein the indication of the at least one of the AI capability or the ML capability included in the indication of the radio capability indicates a radio capability identifier (ID) that corresponds to the at least one of the AI capability or the ML capability. 23 . The apparatus of claim 15 , wherein the indication of at least one of the AI capability or the ML capability is included in the indication of the core network capability. 24 . The apparatus of claim 15 , wherein the indication is received at a base station, the at least one processor further configured to report, to a second network entity, at least one of the indication of the AI capability, the ML capability, the radio capability, or the core network capability. 25 . The apparatus of claim 15 , wherein the indication of at least one of the AI capability or the ML capability is received separately from the indication of the radio capability and the indication of the core network capability. 26 . The apparatus of claim 25 , wherein the indication of the at least one of the AI capability or the ML capability is received in a sepa
Machine learning · CPC title
Channel coefficients, e.g. channel state information [CSI] · CPC title
Transfer of terminal data · CPC title
Arrangements for optimising operational condition · CPC title
Architecture, e.g. interconnection topology · CPC title
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