In this article, a multitask sparse Bayesian learning channel estimation based on factor
graphs (MT-SBL-FG) for turbo equalization (TEQ) in underwater acoustic (UWA) …

With the boom in machine learning, support vector machine (SVM) is widely employed in
pattern recognition. However, most of SVM models concentrate on single-task learning, multi …

Efficient vehicle-to-everything (V2X) communications improve traffic safety, enable
autonomous driving, and help to reduce environmental impacts. To achieve these …

The big data availability of Radio Access Network (RAN) statistics suggests using it for
improving the network management through machine learning based Self Organized …

Automation of Radio Access Network (RAN) operation is a fundamental feature to manage
sustainable and efficient Beyond Fifth-generation wireless (5G) networks, in the context of …

This paper proposes a joint multi-task Bayesian channel estimation and data detection
algorithm for Turbo equalization (TEQ) in underwater acoustic (UWA) communication. The …

Millimeter-wave massive multiple-input multiple-output (MIMO) vehicle-to-everything (V2X)
communications can support enhanced V2X applications for connected and automated …

This letter presents a joint impulsive noise mitigation and sparse channel estimation
algorithm for single-carrier systems in mobile underwater acoustic communication (UAC) to …

Time-series prediction has drawn considerable attention during the past decades fueled by
the emerging advances of deep learning methods. However, most neural network based …

Wireless communication systems for the industrial domain will rapidly grow in the
forthcoming years, which is bringing a strong need for quantitative dependability …