News & Events

The 6G-MUSICAL project is pleased to announce the publication of the paper titled “Structured Channel Estimation for RIS-Assisted THz Communications” in the IEEE Transactions on Vehicular Technology. This journal is a well-established platform, a leading peer-reviewed journal, for publishing high-quality research in the field of vehicular technology, wireless communications, and related areas. It serves as a key resource for academics, researchers, and industry professionals.

The paper introduces a tensor-based channel estimation method designed to enhance Reconfigurable Intelligent Surface (RIS)-assisted communication networks operating at Terahertz (THz) frequencies. The proposed method, called the Higher-Dimensional Rank-one (HDR) approximation, leverages the geometrical structure of THz propagation channels. By recasting parametric channel estimation as a single sixth-order rank-one tensor approximation problem, the HDR estimator enables efficient and accurate estimation of channel parameters.

This research aligns with 6G-MUSICAL’s mission to explore new system architectures and signals that integrate communication with sensing technologies.

6G-MUSICAL is a collaborative project funded under the European Union’s Horizon Europe research and innovation program through the Smart Networks and Services Joint Undertaking (SNS JU). The project aims to equip 6G infrastructure nodes with combined RF and radar-based sensing elements, enabling efficient multi-frequency communication alongside accurate sensing and localisation capabilities. The project investigates integrated communication and sensing technologies, enabling efficient and high-rate communication across multi-frequency bands combined with precise sensing and localization.

The 6G-MUSICAL consortium continues advancing knowledge and innovation in integrated sensing and communication technologies. This publication represents a step forward in addressing the challenges of next-generation wireless networks.

Access the Journal article here