Real-time Implementation and Evaluation of SDR-based Deep Joint Source-Channel Coding
Maolin Liu, Wei Ren Chen, Jialong Xu, Bo Ai · 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) · 2022
Benefiting from the advantage of joint source-channel coding in the finite block length regime and the advancement of AI technologies, deep joint source channel coding (DJSCC) has been extensively investigated for various sources (e.g., text source, image source, and video source) and achieved remarkable performance in limited bandwidth and low signal-to-noise ratios (SNRs). However, the performance gain brought by DJSCC methods is all observed via simulations in literature, where synchronization, channel estimation and the power amplifier are assumed to be perfect. In this paper, we design a software-defined radio (SDR) based platform to validate the DJSCC method for image transmission in real wireless scenarios.