Webinar: Machine Learning in Communications and Sensing in Wireless Networks

#AI #machinelearning #ML #nextgen #futurenetworks #5g #5gb #6g

In this webinar, it will be discussed how Machine learning strategies will be extensively adopted in next-generation wireless networks for integrating communication and sensing services. The new wireless systems will be required to provide ultra-fast and reliable connectivity to support emerging applications such as the Metaverse, autonomous driving, and telemedicine. This challenges the way networks are managed now, and the way forwards is to use context-aware data-driven approaches. Therefore, next-generation wireless networks are supposed to rely on wireless sensing strategies combined with advanced machine learning approaches to implement algorithms that adapt to the actual network deployment, users’ requirements, and propagation channel. In addition to the connectivity service, the intrinsic capability of wireless networks to sense the propagation environment is expected to be leveraged in next-generation systems to provide the users with environment monitoring applications. In this context, machine learning will be paramount to address the complexity of wireless sensing tasks and process the high amount of data required for their effective implementation. In this talk, we will provide an overview of the most recent research we carried out in this area, regarding both communication-assisted sensing and sensing-assisted communication strategies, mentioning the open research challenges we have identified.