Call for Papers

Scope

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.

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Topics

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 & Space Network
Pre-trained technology in communications
Machine Learning & Network Security
Image Processing & Pattern Recognition for Intelligent Communications
Natural Language Processing for Communication Systems
Multi-Modality Learning in  Intelligent Communication Applications 

Publication

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:

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, ad have to comply with the Springer format (see Author’s kit section).

  • Regular papers should be up to 12-15+ pages in length.
  • Short papers should be 6-11 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

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