An End-to-End Neural Network Transceiver Design for OFDM System with FPGA-Accelerated Implementation

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.

• •Focus on end-to-end neural network design for OFDM transceivers.
• •Implementation utilizes FPGA acceleration.
• •Aims to improve performance and efficiency in wireless communication.