Machine Learning Enabled Integrated Sensing and Communication for Smart 6G Environments

Integrated sensing and communication (ISAC) inherently combines the functions of sensing and communication, leveraging wireless and hardware resources for the mutual benefit. ISAC is widely expected to play a pivotal role in next-generation wireless networks, supporting a broad spectrum of emerging applications by transmitting signals that serve both data communication and sensing purposes. This dual functionality can be applied in various contexts, such as environmental monitoring, smart cities, and industrial automation. In this work we present an experimental ISAC framework that serves as a proof of concept regarding the capabilities of this technology in future wireless networking environments. Furthermore, the acquired results corroborate that ISAC in combination with AI/ML techniques and in particular Convolutional Neural Networks (CNNs) is an important enabler for creating smart 6G communication environments.