Neural Transmitter-Receiver Adjustment for Cross-Vendor Communication
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Solution Overview
Problem
Neural network-based transmitters and receivers from different vendors cannot directly communicate with each other due to independent training, necessitating a method to enable communication without disclosing proprietary models.
Innovation Solution
A communication method using an adjustment model determined by a first apparatus based on information from a second apparatus, allowing communication between transmitters and receivers from different vendors by processing signals through the adjustment model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmitters and receivers are independently trained by different vendors, then each vendor can optimize their own model performance, but communication between different vendors becomes impossible
Solution Approach 1:
The patent introduces an adjustment model as an intermediary component that mediates between independently trained transmitters and receivers from different vendors. This adjustment model acts as a bridge, enabling compatible communication without requiring disclosure of proprietary models, thus resolving the contradiction between maintaining vendor-specific optimization and achieving cross-vendor compatibility
Solution Approach 2:
The communication system is segmented into three independent components: the first vendor's transmitter model, the adjustment model, and the second vendor's receiver model. Each component can be trained and optimized independently, yet they work together seamlessly. This segmentation allows each vendor to maintain their proprietary optimization while achieving mutual compatibility through the intermediary adjustment model
2Adaptability or versatility
If adjustment models are used to enable communication between different vendors, then communication compatibility is achieved, but additional model processing complexity is introduced
Solution Approach 1:
Instead of requiring full model exchange or complex joint training, the patent uses the adjustment model to create a compatible representation of the communication protocol. The adjustment model learns to translate between different vendor-specific models, effectively copying the necessary communication patterns without requiring the full complexity of all underlying models to be processed simultaneously
Data Source
AI summary
A communication method, including: A first apparatus determines a first adjustment model based on first information from a second apparatus, where the first adjustment model is associated with information about a first transmitter and information about a second receiver, or the first adjustment model is associated with information about a first receiver and information about a second transmitter, the first transmitter and the first receiver correspond to the first apparatus, and the second receiver and the second transmitter correspond to the second apparatus; and the first apparatus communicates with the second receiver of the second apparatus based on the first transmitter and the first adjustment model; or the first apparatus communicates with the second transmitter of the second apparatus based on the first receiver and the first adjustment model.