Changeflow GovPing Telecom & Technology Nokia ML Capability Exchange for Radio Resource...
Routine Notice Added Final

Nokia ML Capability Exchange for Radio Resource Management

Email

Summary

Nokia Technologies Oy filed US Patent Application US20260100888A1 disclosing methods and apparatuses for machine learning capability exchange and authorization between user equipment and network entities for radio resource management. The invention enables a network entity to enquiry ML capabilities from user equipment using an ML filter, and the user equipment responds with ML model availability information based on the filter. This supports dynamic ML-based RRM in cellular networks.

What changed

Nokia Technologies Oy filed US Patent Application US20260100888A1 on August 22, 2023 (Application No. 19111913), published April 9, 2026. The patent discloses methods for ML capability exchange between user equipment and network entities, enabling a network to query device ML capabilities via an ML filter indicating available algorithms, and the device responds with its available ML models.

For technology and telecommunications companies developing ML-based radio resource management solutions, this patent application indicates Nokia's intellectual property position in dynamic ML capability negotiation between devices and networks. Parties operating in 5G/6G network environments with ML components should monitor patent prosecution to assess potential licensing implications.

What to do next

  1. Monitor for patent prosecution updates and potential claims
  2. Review if your products use ML-based radio resource management

Archived snapshot

Apr 9, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

ML CAPABILITY EXCHANGE AND AUTHORIZATION FOR RRM

Application US20260100888A1 Kind: A1 Apr 09, 2026

Assignee

Nokia Technologies Oy

Inventors

Ethiraj ALWAR, Amaanat ALI

Abstract

The present invention provides apparatuses, methods, computer programs, computer program products and computer-readable media for ML capability exchange and authorization for RRM. The method comprises receiving, from a network entity, an enquiry for providing a machine learning, ML, capability of the user equipment, the enquiry including an ML filter, indicating at least one ML algorithm available at the network entity, generating ML capability information indicating at least one ML model available at the user equipment based on the ML filter received from the network entity, and transmitting the generated ML capability information to the network entity.

CPC Classifications

H04L 41/16 H04W 24/02

Filing Date

2023-08-22

Application No.

19111913

View original document →

Get daily alerts for USPTO Patent Applications - Networking (H04L)

Daily digest delivered to your inbox.

Free. Unsubscribe anytime.

About this page

What is GovPing?

Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission

What's from the agency?

Source document text, dates, docket IDs, and authority are extracted directly from USPTO.

What's AI-generated?

The plain-English summary, classification, and "what to do next" steps are AI-generated from the original text. Cite the source document, not the AI analysis.

Last updated

Classification

Agency
USPTO
Instrument
Notice
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US20260100888A1

Who this affects

Applies to
Technology companies Telecommunications firms
Industry sector
3341 Computer & Electronics Manufacturing 5170 Telecommunications
Activity scope
Patent application filing ML capability exchange Radio resource management
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Telecommunications Artificial Intelligence

Get alerts for this source

We'll email you when USPTO Patent Applications - Networking (H04L) publishes new changes.

Optional. Personalizes your daily digest.

Free. Unsubscribe anytime.