ProSe Terminal Signaling for Low-Latency Distributed Analysis
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Solution Overview
Problem
Existing technologies do not effectively support direct communication and distributed data analysis between terminal devices with high latency requirements, relying instead on cloud servers that introduce long interaction latencies.
Innovation Solution
Implementing a message transmission method using Proximity-based Communication (ProSe) technology for terminal devices to discover and establish direct communication connections for distributed data analysis, facilitating the exchange of AI/ML models and analytic parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If cloud servers are used for data analysis, then centralized processing capability is improved, but interaction latency increases
Solution Approach 1:
The patent extracts the data analysis function from the cloud server and places it directly on the terminal device. The terminal device performs distributed data analysis locally using AI/ML models, eliminating the need to send data to cloud servers for processing. This extraction of computation from the cloud enables low-latency local analysis while maintaining the ability to leverage powerful AI models.
2Productivity
If terminal devices perform distributed data analysis, then analysis efficiency is improved, but device capability requirements increase
Solution Approach 1:
The patent enables terminal devices to perform multiple functions including data collection, AI/ML model execution, and distributed data analysis. By making the terminal device multi-functional, the system allows any terminal to participate in distributed analysis without requiring specialized hardware, thus improving analysis efficiency while keeping device requirements accessible.
Solution Approach 2:
The patent uses AI/ML models that can be copied and deployed on terminal devices. Instead of requiring each terminal to have unique complex processing hardware, the same pre-trained AI models can be copied across multiple devices, enabling distributed analysis while maintaining relatively simple device specifications.
3Speed
If direct communication between terminal devices is implemented, then communication speed is improved, but communication reliability may deteriorate
Solution Approach 1:
The patent introduces a communication management component as an intermediary that handles direct communication between terminal devices. This intermediary manages connection establishment, data transmission, and error handling, enabling fast direct communication while maintaining communication reliability through structured protocol management.
Data Source
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AI summary
The present application relates to the technical field of communications. Disclosed are an information transmission method and apparatus, and a device and a storage medium. The method comprises: a first device broadcasting first identification information to at least one device, wherein the first identification information is used to indicate first distributed data analysis, and the first identification information comprises a first data analysis identifier and/or a first model identifier, and a second device monitoring the first identification information broadcast by the at least one device. According to the embodiments of the present application, distributed data analysis is performed by using near-field communication technology, so that distributed data analysis having a high time delay requirement is better satisfied, thereby supporting more types of distributed data analysis.