Abstract Machine learning is a highly promising tool to design the physical layer of wireless
communication systems, but the training usually requires an explicit model of the signal …

The problem of end-to-end learning of a communication system using an autoencoder--
consisting of an encoder, channel, and decoder modeled using neural networks--has …

A smart building is an emerging technology that has the potential to be used in a variety of
ubiquitous computing applications. The majority of existing work for smart building …

Machine learning is a highly promising tool to design the physical layer of wireless
communication systems, but its scaling properties for this purpose have not been widely …

The problem of domain adaptation conventionally considers the setting where a source
domain has plenty of labeled data, and a target domain (with a different data distribution) …

The necessity of ease and convenience for users, a Smart Building with complex
applications needs to be operated through a centrally automated system such that the data …

Machine learning is a highly promising tool to design the physical layer of wireless
communication systems, but the training usually requires an explicit model of the signal …

Wireless communication is a transformative technology that has changed the way we work,
communicate and enjoy our free time. The number of connected devices is expected to …

In this article, low-cost data transmission system is designed for smart building. The
proposed work uses deep learning models to compress and decompress the sensory data …

Task-oriented semantic communication (ToSC) emerges as a promising approach for
executing remote inference tasks. While existing ToSC systems are generally trained under …