Performance Evaluation of Training ResNet Receiver Under Mobility for 5G NR Wireless Communication Systems
Ade Irawan · 2023
This paper investigates the bit error rate (BER) performances of a 5G NR-based uplink wireless communication system having a Residual Network-based (ResNet) receiver. The performances are analyzed in the clustered delay line (CDL) channel model under various training scenarios based on the speed of a transmitter. Computer simulation results confirm the robustness of a ResNet Receiver model trained under the highest transmitter speed scenario to recover the signals from a transmitter with various speeds. Two different channel encoders are also presented to demonstrate the consistency of the robustness.