The 6th EAI International Conference on Artificial Intelligence for Communications and Networks (EAI AICON 2026) focuses on artificial intelligence methods and systems that directly advance communication technologies, network infrastructures, and connected autonomous systems. It brings together researchers, engineers, and practitioners working at the intersection of AI, communications, and networking.

The central themes are AI-enabled design, optimization, operation, and protection of wireless, mobile, satellite, optical, Internet of Things, software-defined, and cloud-edge networks, including 5G and 6G systems. Contributions should identify a concrete communications or networking problem and demonstrate technical relevance through theory, algorithms, experiments, prototypes, or system evaluation.

Enabling research in machine learning, foundation and generative models, agentic AI, federated learning, edge AI, AI hardware, and autonomous machine intelligence is included when it is applied to communications, networks, distributed sensing, or connected autonomous systems. Generic AI studies and standalone applications in healthcare, agriculture, finance, education, and other domains are outside the proceedings scope unless their principal contribution concerns the design, operation, evaluation, or security of a communication or networked system. Special-session papers are governed by the same requirement; an application context alone does not establish scope relevance.

Trustworthy deployment is a cross-cutting focus, covering security, privacy, robustness, explainability, safety, governance, and human factors in AI-enabled communication and networked systems.

To avoid duplication, authors should select the track matching the paper’s primary technical contribution: AI methodology (Track 1), intelligent edge and autonomous systems (Track 2), or communication and network design and operation (Track 3). Trustworthy AI is centered in Track 1 and applies as a cross-cutting requirement across all tracks.

Track 1: AI Models, Agents, and Trustworthy Intelligence for Communications and Networks

• Machine learning, deep learning, and reinforcement learning for communications and networked systems
• Foundation models, large language models, and generative AI, including multilingual and low-resource-language methods, for communication systems and network operation
• Agentic AI, multi-agent intelligence, and lifelong or continual learning for distributed and connected systems
• Multimodal learning, knowledge representation, and explainable AI for connected systems
• Federated, decentralized, distributed, and communication-efficient learning
• Trustworthy AI: security, privacy, robustness, hallucination mitigation, fairness, transparency, safety, governance, and human factors

Track 2: Edge, Multimodal, and Autonomous Intelligent Systems

• Edge AI, TinyML, AI accelerators, and neuromorphic computing for connected devices and systems
• Multimodal sensing and data fusion, including computer vision, audio, and Internet of Things data
• Connected and autonomous vehicles, robots, and unmanned aerial vehicles
• Multi-agent, swarm, and distributed control for autonomous systems
• Perception, human-robot interaction, and real-time decision-making in networked environments
• Smart-city, cyber-physical, and digital-twin systems where sensing, communication, or networking is central

Track 3: AI-Enabled Communications and Networks

• AI for wireless and mobile communications, including 5G and 6G systems
• AI for signal processing, channel estimation, resource allocation, and semantic or goal-oriented communication
• AI for satellite, non-terrestrial, space-air-ground integrated, and optical communications
• Network optimization, orchestration, management, and software-defined or programmable networks
• Internet of Things and cloud-edge networks, including edge-network coordination
• Security, privacy, resilience, and content authenticity for AI-enabled communication and network infrastructures
• Quantum-inspired AI and quantum machine learning for communication, resource-allocation, SAGIN, and NTN problems

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: AICON 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:

• Springer Mobile Networks and Applications (MONET) Journal (IF: 2.0)

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 Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

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 the EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

• Full/ Regular papers should be 12-16 pages in length.
• Short papers should be 6-11 pages in length.

*Please note that additional pages will be subject to an extra charge for each extra page uploaded.

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.

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.

• All papers must be submitted in English. 
• 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.

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

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

• LaTeX2e Proceedings Templates (zip)
• Microsoft Word Proceedings Templates (zip)

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 in .ZIP file, containing LaTeX or Word source material prepared according to the above guidelines.

A 50% discount on both the second and third papers is available to authors who register two or three accepted papers for the same conference, provided all papers are authored by the same individual listed as an author in the initial submissions. The 50% discount on additional papers applies only to the individual who has completed a full (non-discounted) registration and does not grant attendance rights to any additional co-authors.

Additional paper discounts and discounted registrations are strictly non-transferable. Discounts cannot be applied retrospectively. Discounts cannot be combined.

If a full registration linked to a discounted registration is cancelled, the discount becomes void, and the discounted registration must be upgraded to a full registration to remain valid.

The conference reserves the right to remove papers from the program or deny attendance if these terms and conditions are not respected.