Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

Recent research on joint source channel coding (JSCC) for wireless communications has
achieved great success owing to the employment of deep learning (DL). However, the …

We study the image retrieval problem at the wireless edge, where an edge device captures
an image, which is then used to retrieve similar images from an edge server. These can be …

We consider wireless transmission of images in the presence of channel output feedback.
From a Shannon theoretic perspective feedback does not improve the asymptotic end-to …

Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …

This paper investigates task-oriented communication for multi-device cooperative edge
inference, where a group of distributed low-end edge devices transmit the extracted features …

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

We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless
image transmission. The proposed scheme supports multiple rates using a single deep …

Semantic communication is a newly emerged communication paradigm that exploits deep
learning (DL) models to realize communication processes like source coding and channel …

Almost all wireless communication sys-tems today are designed based on essentially the
same digital approach, that separately optimizes the compression and channel coding …