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Integrated Sensing, Localization, and Communications in 6G THz Systems

Project description

6G systems integrating localisation, sensing and communications

A 6G system will use various computing, communication and sensing technologies to offer different novel smart applications. There are several key enabling technologies poised to drive the development of 6G. These include large antennas emitting in the millimetre-wave and terahertz parts of the electromagnetic spectrum, reconfigurable intelligent surfaces that will reshape and control the electromagnetic response of the environment and machine learning to tackle big problems in wireless communication systems. In the envisioned 6G systems, localisation, sensing and communication must all coexist, sharing the same time, frequency and spatial resources. Funded by the Marie Skłodowska-Curie Actions programme, the 6G-ISLAC project plans to realise such integrated sensing, localisation and communication systems for 6G.


In parallel to the evolution of 5G communication systems, 6G concepts are being developed in the academic community. In 6G, several key technical enablers are envisioned: i) mmWave and THz frequencies electromagnetic with extremely large bandwidths, and extremely large antenna arrays; ii) reconfigurable intelligent surfaces that control the propagation environment; and iii) machine learning to solve problems for which mathematical models are not sufficient. As location-aware communication (i.e. to optimize network efficiency and communication capacity by exploiting location, map, and trajectory information) is already a part of 5G, we expect that the 6G key enablers will also lead to high-accuracy sensing and localization and, in turn, improve communication quality. The goal of this project is to develop integrated sensing, localization, and communication systems for 6G, and the project comprises the following 3 work packages (WPs). In WP1, joint parameter estimation methods for the 6G channel are studied, and low-complexity methods will be developed based on the inherent high resolution of the 6G channel. By exploiting the estimated channel parameters of 6G signals, novel methods for estimating user state as well as sensing the time-varying propagation environment will be developed in WP2. We will design methods to use sensing and localization information from WP2 for initial beam search, beamspace processing, beam alignment, and power allocation in WP3. In doing so, we address several of the fundamental challenges in 6G communications and high-accuracy sensing and localization.



Net EU contribution
€ 222 727,68
412 96 Goteborg

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Södra Sverige Västsverige Västra Götalands län
Activity type
Higher or Secondary Education Establishments
EU contribution
No data