Wireless Sensor Networks (WSNs) are crucial in supporting continuous environmental
monitoring, where sensor nodes are deployed and must remain operational to collect and …

In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …

Video conferencing has become a popular mode of meeting despite consuming
considerable communication resources. Conventional video compression causes resolution …

We propose a joint source and channel coding (JSCC) technique for wireless image
transmission that does not rely on explicit codes for either compression or error correction; …

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 …

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

We consider the problem of joint source and channel coding of structured data such as
natural language over a noisy channel. The typical approach to this problem in both theory …

The emergence of various intelligent mobile applications demands the deployment of
powerful deep learning models at resource-constrained mobile devices. The device-edge co …

Task-oriented communications, mostly using learning-based joint source-channel coding
(JSCC), aim to design a communication-efficient edge inference system by transmitting task …

Semantic communication has witnessed a great progress with the development of natural
language processing (NLP) and deep learning (DL). Although existing semantic …