H2020Индивидуална стипендия2021–2023

RaSeCoL · Radar Sensing, Communication, and Learning for Next Generation Wireless Networks

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2021-07-01 → 2023-06-30
Финансиране от ЕС: 183 473 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

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Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

RaSeCoL: Radar Sensing, Communication, and Learning for Next Generation Wireless Networks

The objective of the RASECOL project “Radar Sensing, Communication, and Learning for Next Generation Wireless Networks” was to establish a framework for incorporating radar sensing capabilities into contemporary mobile communication networks through the utilization of dual function radar communication (DFRC) technologies. In particular, the project leveraged reconfigurable intelligent surfaces (RISs) - both passive and active -, which are a key component of forthcoming 6G communication systems, to enhance the potential of integrated sensing and communication systems, thus facilitating the realization of comprehensive mobile networks with heightened perceptiveness. The overarching objective was to enable the development of integrated sensing and communication systems (ISAC) that could effectively meet the demanding requirements of 6G networks, including ultra-high data rates, ultra-high sensing capabilities with substantial correctness, exceptional interference resilience, and optimal energy efficiency. The inclusion of radar sensing capabilities to current communication networks is an enabler for new services, such as the support to self-driving cars and drones, and to elder patients monitoring. These are key applications for improving the quality of life of citizens.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The increasing demand for bandwidth hungry applications in modern communication networks has led to the proliferation of radar and communication systems in integrated radar-sensing and communication networks in order to improve the effectiveness of the limited spectral resources. However, it turns out that, much more benefits could be harvested regarding both the sensing and communication services through such integration between the two systems. The overarching goal of the radar sensing, communication, and learning (RaSeCoL) project is to design, analyze and validate innovative dual functional radar sensing and communication networks, to achieve improved communication quality, spectrum efficiency, and energy efficiency for the communication service while achieving accurate estimation for the sensing parameters for the sensing service through learning from the environment and massive data collected from such integrated networks. The project will introduce an integrated network architecture enabling both radar sensing and communication capabilities by implementing devices that act as both radar sensor and communication base station. Novel transceiver algorithms and signal coordination procedures will be conceived, and new sensing parameters estimation approaches from the complex combined sensing-communication signals will be targeted taking into consideration different modulation and multiple access schemes. The project will be carried out by the Experienced Researcher (ER) at the University of Cassino and Lazio Meridionale (Italy), under the supervision of Prof. Stefano Buzzi. Furthermore, Huawei Mathematical and Algorithmic Research Center in Paris (France) will host the ER for a six-months secondment. The applying ER is Dr. Mohamed Elmeligy, currently a post-doctoral researcher at the college of information engineering, Shenzhen University, China.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE · CassinoКоординаторИталия