An End-to-End Neural Network Transceiver Design for OFDM System with FPGA-Accelerated Implementation
Published:Dec 15, 2025 12:19
•1 min read
•ArXiv
Analysis
This article presents a research paper on the design of a neural network-based transceiver for OFDM systems. The focus is on an end-to-end approach and FPGA acceleration, suggesting potential improvements in performance and efficiency for wireless communication. The use of neural networks in this context is a notable application of AI in the field.
Key Takeaways
- •Focus on end-to-end neural network design for OFDM transceivers.
- •Implementation utilizes FPGA acceleration.
- •Aims to improve performance and efficiency in wireless communication.
Reference
“”