Yuchuan Fu
Xidian University, China
Jie Feng
Xidian University, China
Bodong Shang
Eastern Institute of Technology, China
Li Zhu
Beijing Jiaotong University, China

The explosive growth of large AI models presents unprecedented opportunities for revolutionizing wireless communication systems. This Special session explores the transformative impact of large language models (LLMs), foundation models, and generative AI on next-generation wireless networks. We focus on how these powerful AI models can enhance network intelligence, optimize resource allocation, and enable autonomous network operations. The Special session addresses key challenges, including model deployment in resource-constrained environments, real-time inference for communication tasks, and the integration of AI-driven decision making in 6G and beyond wireless systems. We welcome original research and visionary insights that demonstrate how large-scale AI models can address fundamental challenges in wireless communications, from physical layer optimization to network management and user experience enhancement.

• Large language models for network optimization and management
• Foundation models for wireless channel prediction and estimation
• Generative AI for communication system design
• Transformer architectures for signal processing
• Machine learning and reinforcement learning in network control
• AI for fault detection and recovery
• Large-scale AI model energy efficiency in wireless networks
• AI-driven energy consumption prediction

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:

• Wireless Networks (WINET) Journal [IF: 2,1 (2023)]

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

• EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (Scopus, Compendex)

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)

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

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 12-20 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.

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 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.