… (self-learning) in an online manner. The main advantage of the proposed online deep
learning (ODL) algorithm is its ability to adapt to different environments, different channel types, …

… 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 …

… the absence of channel coding. In practice, when lower BERs are needed, channel coding
is used. Hence, for the practical range of moderate BER before channel coding, our proposed …

… -channel coding (JSCC) outperforms the separate source coding and channel coding in the
… Nowadays, with the development of deep learning (DL) and convolutional neural networks (…

… estimation error and get a fair comparison of the end-to-end approach with the traditional
ones, including channel coding and modulation techniques, we assume the transmitter can …

… research of deep learning-based video coding, we present a case study of our developed
prototype video codec, Deep Learning Video Coding (DLVC). DLVC features two deep tools …

… the learning processing for the decoder. Compared to other machine learning approaches,
… (MMSE) equalizer, the proposed adaptive deep learning (ADL) based AE demonstrates a …

… [12] have recently attracted a lot of research as they were selected to be among the errorcorrecting
codes used in the control channel of the enhanced Mobile Broadband (eMBB) …

… of deep learning (DL) for optimizing constellations in two-way relaying with physical-layer
network coding (PNC), where deep … interest when channel codes are used. For this reason, …

… Recently, deep learning (DL) has shown great potential in a … channel coding for forward
error correction (FEC) codes. … FEC codes, especially polar codes, can contribute to the coding …