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HEДокторантска мрежа2023–2027

SCION · Secured and Intelligent Massive Machine-to-Machine Communications for 6G

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

Период
2023-02-01 → 2027-09-30
Финансиране от ЕС
1 828 303 €
Участници
10
Схема
HORIZON-TMA-MSCA-DN

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Безжичните комуникации за бъдещите 6G мрежи се изследват чрез технологии като изкуствен интелект и блокчейн, за да общуват устройствата в умните градове по-бързо и сигурно. Това помага за подобряване на енергийната ефективност и автономното управление на мащабни индустриални системи.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Secured and Intelligent Massive Machine-to-Machine Communications for 6G

The SCION project is designed to advance the next generation of wireless networks. With the rapid growth of the Internet of Things (IoT), smart cities, and industrial automation, the need for ultra-fast, secure, and intelligent machine-to-machine (M2M) communication has become paramount. SCION aims to tackle these challenges by integrating cutting-edge technologies such as semantic communication, digital twins, blockchain security and artificial intelligence (AI)-driven network optimization. The project's primary objective is to contribute to the development of Beyond 5G and 6G networks. SCION focuses on achieving significant breakthroughs in several key areas, including energy-efficient communication, autonomous network management, and real-time decision-making using AI. By addressing scalability, security, and efficiency challenges, SCION is poised to revolutionize the telecommunications landscape and contribute to Europe's leadership in 6G research and development.

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

Цел на проекта

To satisfy the expected plethora of demanding services, 6G is envisioned as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and Ultra-reliable and low latency services in 5G wireless networks to a more robust and intelligent level. This move will introduce significant new multidisciplinary research challenges emerging throughout the wireless communication protocol stacks, including the way the mobile network is modelled and deployed. The structure of 6G networks will be highly heterogeneous, densely deployed, and dynamic. Combined with the tight quality of services, such complex architecture will result in the untenability of legacy network operation routines. In response, artificial intelligence (AI), especially machine learning (ML), Semantic Communication and Digital Twin (DT) are emerging as solutions to realize the fully intelligent network orchestration and management. By learning from uncertain and dynamic environments, AI-enabled channel estimation and spectrum management will open up opportunities for bringing the excellent performance of Ultra-broadband techniques into full play. Additionally, challenges brought by Ultra-massive access concerning energy and security can be mitigated by applying AI-based approaches. The overall research objective of the SCION project is to develop and design the network systems for seamless wireless access for Secure and Intelligent Massive Machine-to-Machine Communications for 6G. In addition to technology development, to meet the urgent needs for the future working force of the coming 6G era, this collaborative project will create a training network for Doctoral Candidates who will contribute to the design and implementation of future 6G networks.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз