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EAI CrownCom 2026 aims to bring together researchers and experts from academia, industry, standards organizations, and policymakers to showcase innovative solutions at the intersection of cognitive radio, Industrial Internet, affective computing, and localization technologies.

The primary focus of EAI CrownCom 2026 is the innovation and application of cognitive-based solutions in the fields of Industrial Internet, affective computing, and localization technologies. Various aspects originating from cognitive radio, such as spectrum resource management, dynamic spectrum adaptation, real-time affective data transmission, multi-band localization signal processing, anti-jamming enhancements, flexible communication protocol adaptation, and edge computing collaboration, have become core research themes in diverse scenarios. However, the integration of cognitive radio with Industrial Internet, affective computing, and localization introduces additional network and intelligence advancements through machine learning and big data analytics.

Against this backdrop, EAI CrownCom 2026 will cover all research aspects related to the intersection of cognitive radio with Industrial Internet, affective computing, and localization, where these fields may benefit from cognitive mechanisms, as well as communication algorithms, protocols, and technologies that enable the introduction and efficient deployment of such mechanisms. Submissions on research progress, state-of-the-art industrial deployments, and contributions to standards and policies are welcome to foster interaction among all communities historically involved in CrownCom.

EAI CrownCom 2026 will be hosted by Shenzhen Institute of Information Technology in Shenzhen, Guangdong Province, China.

Shenzhen is a pioneer in China’s reform and opening-up, a core engine of the Guangdong-Hong Kong-Macao Greater Bay Area, and a global innovation hub driven by electronics, artificial intelligence, and new energy. Home to leading enterprises such as Huawei, Tencent, and BYD, Shenzhen is a benchmark for smart cities, leveraging Shenzhen-Hong Kong collaboration and cutting-edge technological breakthroughs to foster an international innovation ecosystem. The people of Shenzhen warmly welcome friends from around the world.

  • Machine learning algorithms and solutions in cognitive radio, Industrial Internet, affective computing, and localization;
  • Use of large-scale models and other AI technologies in future wireless systems;
  • Spectrum resource management and intelligent scheduling;
  • Applications of intelligent scheduling methods across various domains;
  • New applications of cognitive radio technologies in future wireless networks;
  • Deep learning and data mining in related fields;
  • Spectrum sharing and cognitive networks, such as:
    Dynamic Spectrum Access (DSA),
    Licensed Shared Access (LSA),
    Licensed Assisted Access (LAA)
  • Coexistence in unlicensed bands (including offloading mechanisms);
  • Standards and initiatives related to the intersection of cognitive radio with Industrial Internet, affective computing, and localization;
  • Spectrum efficiency optimization at any layer (physical, MAC, network, and application layers);
  • Spectrum for digital inclusion;
  • Data transmission technologies in IoT and big data application systems;
  • Sharing and coexistence in millimeter-wave bands and satellite communications;
  • Experimental results and trials on end-to-end wireless system spectrum efficiency;
  • Cognitive radio fundamentals, such as advances in spectrum sensing and dynamic spectrum access;
  • Heterogeneous network coexistence;
  • Spectrum usage in high-frequency bands (millimeter-wave, visible light communication, terahertz);
  • Backhaul transmission in future networks.

Conference Proceedings

All registered and presented papers will be submitted for publication in the Springer – LNICST series and made available through the SpringerLink Digital Library: EAI CrownCom proceedings. This series is indexed in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Inspec, SCImago and Zentralblatt MATH.

Available Journals

Authors of selected papers will be invited to submit an extended version to:

Authors have the opportunity to publish their articles in the EAI Endorsed Transactions journal selected by the conference (Scopus, Ei-indexed, ESCI-WoS, Compendex) by paying an additional $250, discounted from the standard $400 rate for conference authors.

The article’s publication is subject to the following requirements:  

  • It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
  • The article will be processed once the conference proceedings have been published.
  • The article will be processed using the fast-track option.
  • Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.

Additional publication opportunities

EAI is an open community dedicated to creating an environment where every member receives the same opportunities and benefits to develop and grow their research mission and career. As the largest free professional research society in the world, EAI offers a complete range of conference proceedings publication opportunities. Based on the qualification of the conference and the conference scope, EAI provides the possibility to publish the proceedings for every sponsored conference. Consistent with its mission to support developing communities, all EAI sponsored conferences appear in EUDL, the European Union Digital Library (EUDL). EUDL is Open Access and free for EAI members, reaching a community of 250,000 subscribers and providing the visibility that allows the conference organisers to develop the conference into a fully fledged indexed proceedings publication in subsequent years.

Papers should be submitted through EAI ‘Confy+‘ system, and 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.

How to Submit a Paper in Confy:
  1. Go to Confy+ website.
  2. Log in or sign up as a new user.
  3. Select your desired track.
  4. Click the ‘Submit Paper’ link within the track and follow the instructions.

Alternatively, go to the Confy+ homepage and click on “Open Conferences.”

Submission Guidelines:

  • All papers must be submitted in English. 
  • Submitted PDFs should be anonymized.

  • Previously published work cannot be submitted, nor can it be concurrently submitted to any other conference or journal. These papers will be rejected without review. 
  • Papers must follow the Springer formatting guidelines (available in the Author’s Kit section). 
  • Authors must read and agree to the Publication Ethics and Malpractice Statement.
  • As per new EU accessibility requirements, going forward, all figures, illustrations, tables, and images should have descriptive text accompanying them. Please refer to the document below, which will assist you in crafting Alternative Text (Alt Text)

HOW TO WRITE GOOD ALT TEXT

For full information, click HERE.

AI Authorship Policy

Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.

The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author. 

AI Authorship Guidance

Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.

AI-generated Images Policy

The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.

Exceptions:

  • Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
  • Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
  • The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.

* All exceptions must be labelled clearly as generated by AI within the image field.
As we expect things to develop rapidly in this field in the near future, we will review this policy regularly and adapt if necessary.Note: Examples of image types covered by this policy include: video and animation, including video stills; photography; illustration such as scientific diagrams, photo-illustrations and other collages, and editorial illustrations such as drawings, cartoons or other 2D or 3D visual representations. Not included in this policy are text-based and numerical display items, such as: tables, flow charts and other simple graphs that do not contain images. Please note that not all AI tools are generative. The use of non-generative machine learning tools to manipulate, combine or enhance existing images or figures should be disclosed in the relevant caption upon submission to allow a case-by-case review.

AI-generated Images Guidance

For more information on the inclusion of third party content (i.e. any work that you have not created yourself and which you have reproduced or adapted from other sources) please see Rights, Permissions, Third Party Distribution.

Papers must be formatted using the Springer LNICST Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

  • a PDF copy of your paper formatted according to the above templates, and
  • an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines.
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