Wireless Device Neural Network Signal Processing Configuration
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Solution Overview
Problem
Wireless communications systems lack methods to effectively configure devices with signal processing operations for neural network models, leading to inefficient execution of signal processing procedures.
Innovation Solution
A method and apparatus for wireless communication that involve obtaining a configuration message indicating neural network models and a sequence of operations for signal processing procedures, allowing devices to perform pre-processing or post-processing operations based on the provided sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If neural network models are deployed in wireless communication devices, then processing capability and intelligence are improved, but device complexity and configuration difficulty increase
Solution Approach 1:
The patent segments the neural network configuration into separate components: model configuration information and operation sequence information. This allows the device to receive and process configuration data in modular units, reducing the complexity of handling complete neural network configurations at once while maintaining full functionality.
Solution Approach 2:
The patent implements preliminary action by providing the device with pre-configured neural network models and their associated operation sequences before actual signal processing begins. The configuration messages containing model parameters, layer structures, and operation sequences are prepared in advance by the network side, enabling the device to immediately execute signal processing without complex runtime configuration.
2Manufacturing precision
If comprehensive signal processing operations are implemented for neural network models, then processing accuracy is improved, but execution time and operational complexity increase
Solution Approach 1:
The operation sequence for signal processing is predetermined and configured in advance through configuration messages. The device receives the complete sequence of operations that need to be performed on input signals before actual processing begins, eliminating runtime decision-making delays and ensuring accurate execution of all necessary processing steps in the optimal order.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some examples, a device (e.g., a user equipment (UE)) may obtain a configuration message indicating one or more neural network models from abase station. The UE may then obtain an indication of a sequence of operations for a signal processing procedure for a neural network model of the one or more neural network models. In some examples, the signal processing procedure includes an input pre-processing procedure or an output pre-processing procedure. Upon obtaining a signal from a base station, the UE may perform the signal processing procedure on the received signal for the neural network model according to the sequence of operations.