Configurable Modulation Order in Autoencoder Communication Receivers
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Solution Overview
Problem
Autoencoder-based communication systems have a fixed modulation order, requiring retraining and replacement when the modulation order changes, which increases costs and technical complexity, especially in situations where channel conditions adapt during operation.
Innovation Solution
The system allows for configurable modulation order by training the transmitter and receiver to operate with multiple modulation orders, enabling dynamic reconfiguration without the need for retraining or replacing the communication system, using a slicing layer to adjust the prediction vector and update parameters based on feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the modulation order is changed during operation, then the communication system can adapt to varying channel conditions, but the system requires retraining and replacement which increases costs and technical complexity
Solution Approach 1:
The patent makes the modulation order dynamic by introducing a configurable parameter that allows the communication system to switch between different modulation orders (e.g., QPSK, 16QAM, 64QAM) during operation. The neural networks in both transmitter and receiver are trained to handle multiple modulation orders, enabling the system to adapt to varying channel conditions without requiring physical reconfiguration or replacement of the communication system.
Solution Approach 2:
The patent creates a universal communication system that can perform multiple functions by supporting multiple modulation orders within a single system. The neural networks are designed with universal capabilities to process and interpret signals across different modulation schemes, allowing one system to replace what would traditionally require multiple specialized systems for different modulation orders.
2Adaptability or versatility
If a different autoencoder-based communication system is trained and utilized to support a different modulation order, then the desired modulation order is supported, but the costs and technical complexities increase
Solution Approach 1:
The patent creates a universal communication system that can perform multiple functions by supporting multiple modulation orders within a single system. The neural networks are designed with universal capabilities to process and interpret signals across different modulation schemes, allowing one system to replace what would traditionally require multiple specialized systems for different modulation orders.
Solution Approach 2:
The patent changes the operational parameters of the communication system by allowing the modulation order to be configured and adjusted. Instead of creating different systems for different modulation orders, the patent modifies the parameters of a single system's neural networks to accommodate various modulation orders, thereby reducing deployment costs and simplifying implementation.
3Ease of manufacture
If the neural networks are trained for a fixed number of possible messages, then the training is simplified, but the modulation order becomes fixed and cannot be changed during operation
Solution Approach 1:
The patent makes the modulation order dynamic by introducing a configurable parameter that allows the communication system to switch between different modulation orders (e.g., QPSK, 16QAM, 64QAM) during operation. The neural networks in both transmitter and receiver are trained to handle multiple modulation orders, enabling the system to adapt to varying channel conditions without requiring physical reconfiguration or replacement of the communication system.
Data Source
AI summary
A method, apparatus, receiver and system provide for configurability of the modulation order of a communications system, such as an autoencoder-based communication system. With respect to a system including a transmitter and a receiver, the transmitter encodes a message into a vector of channel symbols for transmission via a channel. The message is encoded pursuant to a modulation order m that is adjustable up to a maximum modulation order Mmax. The receiver receives a vector of samples generated by the channel and determines a first prediction vector for the message encoded by the transmitter. The receiver includes a slicing layer to eliminate one or more elements of the first prediction vector if the modulation order m is less than the maximum modulation order Mmax so as to generate a second prediction vector tailored to the modulation order from which a prediction of the message encoded by the transmitter is identified.