… , TurboAE) – the first channel coding scheme with both encoder and decoder … art channel
codes under AWGN channels for a moderate block length. We demonstrate that channel coding…

… Inspired by the recent success of deep learning … deep JSCC architecture that exploits the
channel output feedback, called DeepJSCC-f, outperforms any separate source channel coding …

… Inspired by the success of unsupervised deep learning (DL) methods, in particular, the
autoencoder architectures [4], [5], we design an end-to-end communication system, where the …

… Abstract—Recent research on joint source channel coding (… owing to the employment of
deep learning (DL). However, the … coding and the channel coding rate according to the channel …

… To address these challenges we propose Neural Error Correcting and Source Trimming (NECST)
codes, a deep learning framework for jointly learning to compress and errorcorrect an …

… separate source and channel coding (JPEG2000 followed by high performance channel
codes) in single-layer transmission. Here we show that the advantages of deep JSCC extend to …

… a communication system separately, the deep learning framework can jointly design … coding
design for each different scenario, the deep learning framework implicitly learns the channel …

… Abstract—Recently, semantic communication has been brought to the forefront because
deep learning (DL)-based methods, such as Transformer, have achieved great success in …

… -Channel Coding: Typical source coding mainly utilizes the sparse property to remove the
redundancy in source data while channel coding … that source coding and channel coding can …

… compatible with the channel coding used in 5G systems. Using 3GPP-defined channel
models, … We also show that the high performance can likely be attributed to DeepRx learning to …