… joint source channel coding (JSCC) for wireless image transmission over multipath fading
channels. Inspired by recent works on deep learning based JSCC and model-based learning …

… 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 …

… Summary and Conclusions We have explored the use of deep learning based methods for
progressive image transmission over wireless channels. Building on recent results showing …

… Our experiment results show that our deep learning model can be trained to learn a policy
that assigns a various rate for different SNRs and image contents. Specifically, it learns to …

… -to-end joint source-channel coding (JSCC) video transmission … deep neural networks (DNNs)
to directly map video signals to channel symbols, combining video compression, channel …

… 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 …

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

… To be more closely aligned with the purpose of semantic communications, we further adopt
the emerging deep learning based LPIPS metric [16] as a perceptual loss to quantify the …

… 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 …

… 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 …