Proximity Service Discovery for Direct AI/ML Resource Sharing
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Solution Overview
Problem
Existing communication devices with varying AI/ML capabilities struggle to efficiently cooperate and share resources, leading to suboptimal performance and increased network load.
Innovation Solution
Implementing proximity service (ProSe) communication mechanisms to enable AI/ML capable devices to discover, share, and exchange AI/ML resources directly, utilizing D2D communication to reduce network impact and enhance overall AI/ML use case performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If devices communicate through traditional network infrastructure, then network control and management is simplified, but network load increases and performance is suboptimal
Solution Approach 1:
The patent introduces a ProSe function as an intermediary that mediates between devices and the core network. This function handles discovery request authorization and capability information management, allowing devices to communicate directly while the network maintains control through the intermediary layer, thus reducing overall network load while preserving management capabilities
Solution Approach 2:
The patent segments communication functions into direct device-to-device communication for data exchange and network-based control for management. By separating these functions, the network infrastructure handles only essential control plane operations while user plane traffic flows directly between devices, reducing network load while maintaining simplified management through the ProSe function
2Productivity
If devices with varying AI/ML capabilities cooperate through traditional networks, then network infrastructure is充分利用, but cooperation efficiency is suboptimal and resource sharing is limited
Solution Approach 1:
The patent implements preliminary action by having devices perform discovery procedures and exchange capability information before actual AI/ML cooperation. The ProSe function pre-authorizes discovery requests and stores capability information in advance, enabling devices to quickly establish efficient cooperation without real-time network intervention, thus improving productivity while maintaining reliability
Solution Approach 2:
The patent implements feedback mechanisms where devices report their AI/ML capabilities to the ProSe function, which stores and manages this information. This feedback loop enables informed resource sharing decisions, allowing devices to cooperate efficiently by knowing each other's capabilities in advance, thus improving both productivity and reliability of resource sharing
3Productivity
If devices establish direct communication channels, then resource sharing and AI/ML efficiency improve, but discovery and connection establishment complexity increases
Solution Approach 1:
The patent uses the ProSe function as an intermediary to manage the complexity of discovery and connection establishment. Devices send discovery requests to the ProSe function, which authorizes them and provides capability information. This intermediary approach simplifies the overall process by centralizing management tasks while allowing direct communication, thus improving resource sharing efficiency without significantly increasing device complexity
Solution Approach 2:
The patent uses copying by having devices exchange capability information copies through the ProSe function. Instead of devices directly managing complex discovery protocols, they receive pre-processed capability information copies from the ProSe function, which has already managed the discovery process. This reduces discovery complexity while enabling efficient resource sharing based on accurate capability knowledge
Data Source
AI summary
An apparatus for use by a communication element or function configured to communicate by using proximity service communication and having artificial intelligence and/or machine learning capabilities, the apparatus comprising at least one processing circuitry, and at least one memory for storing instructions to be executed by the processing circuitry, wherein the at least one memory and the instructions are configured to, with the at least one processing circuitry, cause the apparatus at least: to conduct a discovery procedure with a proximity service control element or function in which a discovery request is transmitted to the proximity service control element or function, the discovery request comprising an identification of an artificial intelligence and/or machine learning proximity service application and an indication of artificial intelligence and/or machine learning capabilities of the communication element or function which can be made available for another communication element or function using proximity service, and to conduct, when authorization of the discovery request is obtained from the proximity service control element or function, a procedure for allowing establishment of a direct communication with another communication element or function by using proximity service wherein information included in the discovery request are transmitted via an interface for the direct communication with the another communication element or function.