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Recently, the concept of emerging artificial intelligence(AI) technologies, such as multi-modality learning, have significantly impacted the world by storm. Next-generation AI revolutionize the method of interacting with humans. This great development attracts more and more attention for AI technologies, including all derivative technologies form the key foundation of many advanced algorithms applied in wireless communication. The emerging AI technology broadens the application range from optimization to physical layer processing. The integration of AI technologies with wireless communication will enable communication system to make more intelligent decisions in the system design, automatic operation and optimization. Better training algorithms and larger datasets play a critical role in the future of AI technologies. As more data is entered into these models, their understanding of complex questions will continue to improve.
We invite high-quality original research papers to describe recent and anticipated challenges or discoveries, as well as potential intelligent solutions for future mobile communications and networks. We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry. How to apply emerging AI algorithm to communication network effectively will be the interest of this meeting.
Intelligent cooperative networks
Intelligent massive MIMO communication systems
Intelligent positioning and navigation systems
Intelligent cooperative/distributed coding
Intelligent radar signal processing & satellite communications
Machine learning algorithms & cognitive radio networks
Machine learning and information processing in wireless sensor networks
Federated learning for wireless communication systems
Federated learning applications
Spacecraft and Space Network
Pre-trained technology in communications
Machine Learning and Network Security
Natural Language Processing for Communication Systems
Multi-Modality Learning in Intelligent Communication Application
AI Image Recognition
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
Authors of selected papers will be invited to submit an extended version to:
Additional publication opportunities:
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.
2023 – Beijing, People’s Republic of China
2022 – Virtual conference
2021 – Virtual conference
2020 – Virtual conference
2019 – Nanjing, People’s Republic of China
2018 – Hangzhou, People’s Republic of China
2017 – Weihai, People’s Republic of China
2016 – Shanghai, People’s Republic of China