Cross platform orchestrated modular radio inference application

The modular inference engine addresses integration challenges by distributing workflow steps across compute targets, enhancing real-time radio spectrum inference efficiency and adaptability across diverse environments.

WO2025171468A9 Publication Date: 2025-10-23QOHERENT INC +6
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Patent Information

Application Number
PCT/CA2025/050137
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-02-16
Filing Date
2025-01-31
Publication Date
2025-10-23

AI Technical Summary

Technical Problem

Existing radio frequency signal processing systems face challenges in integrating machine learning models with software-defined radios, leading to latency and inefficiencies in real-time applications due to sequential processing methods and the lack of standardized integration of disparate components.

Method used

A modular and scalable inference engine that distributes workflow steps across different threads, cores, or compute targets, supporting third-party models in an open standard framework, enabling concurrent execution and optimizing processing workflows for diverse computational environments.

Benefits of technology

The system achieves low latency and high throughput in real-time radio spectrum inference, supporting a wide range of computational targets from low-cost to high-end equipment, and facilitating the deployment of intelligent radio applications with improved adaptability and flexibility.

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Abstract

A framework for designing, testing, packaging, and deploying inference applications. This includes an orchestration component to manage the concurrent execution of nodes / blocks / steps in the workflow. The workflow includes a set of workflow steps, the set of workflow steps includes inference using one or more models, and one or more of SDR control and streaming, preprocessing, IO handling, and application service. The application breaks the set of workflow steps across different cores or compute targets.
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