Workshop Scope

The sixth-generation (6G) mobile communication system aims to achieve a profound evolution from "Connecting Things" to "Connecting Intelligence." Beyond providing reliable connectivity capabilities, future networks must embed autonomous and distributed agents within the wireless infrastructure. To realize this vision, AI Edge emerges as a pivotal enabler. Edge nodes are set to evolve into intelligent agents endowed with capabilities for learning, sensing, reasoning, and adaptive decision-making. Leveraging heterogeneous computing resources (e.g., CPUs, GPUs, FPGAs), these intelligent edge nodes simultaneously support AI-driven distributed computing and wireless communication tasks, facilitating the synergistic coexistence of communication and intelligence at the network edge.

By converging AI and communication capabilities at the network edge, AI Edge unlocks the full potential of 6G networks, enhancing spectrum efficiency, minimizing latency, and empowering emerging intelligent services such as embodied AI and low-altitude intelligent networks. However, this paradigm introduces multifaceted challenges. It requires not only highly efficient computational orchestration on edge nodes but also addresses critical issues regarding multi-agent collaboration, privacy and security in distributed model training, and the generalization of AI models within dynamic wireless environments.

To address these challenges, this workshop aims to bring together researchers from academia and industry to explore recent breakthroughs, novel architectures, and experimental results regarding the convergence of edge AI and wireless communications, thereby advancing the technical evolution and practical deployment of 6G AI Edge networks.

Topics of Interest

This workshop aims to bring together researchers from academia and industry to explore key technologies and prototype systems within AI Edge networks, facilitating the convergence of AI and communications to drive the next evolution of wireless networks.

Topics include, but are not limited to:

• Architectures and frameworks for AI Edge networks

• Communication algorithm reconstruction and acceleration on heterogeneous computing platforms

• AI-driven physical layer communication algorithms, such as intelligent transceiver design, channel state information prediction and extrapolation

• AI-enhanced MAC layer communication algorithms, including resource allocation, user scheduling, and interference management

• AI-agent-based distributed network optimization

• Efficient distributed learning and inference among edge agents

• Resource allocation for AI and communication tasks coexistence at the edge

• Model compression and computational task scheduling at the edge

• End-edge–cloud model collaboration and dynamic computing offloading

• Testbeds, prototypes, and experimental validation for AI Edge network

Please WS-05 CFP.pdf

Workshop Hosts

Workshop Organizers

GENERAL CHAIR

Jihong Park Singapore University of Technology and Design, Singapore

WORKSHOP CHAIRS

Ting Zhou Shanghai University, China	Yue Wang China Telecommunications Corporation, China	Tingting Yang Peng Cheng Laboratory, China

Paper Submission Guidelines：

Submission
Papers must be submitted via EDAS (https://edas.info/newPaper.php?c=34433&track=134664) and follow the IEEE standard camera-ready format. Papers must be original and not under review elsewhere. Papers violating length limits or dual submission will not be reviewed.
Final Manuscript Preparation:
1) Use IEEE 2-column templates (A4 for Word users).
2) Templates: http://www.ieee.org/conferences_events/conferences/publishing/templates.html
3) Maximum 6 pages, or 7 pages with an over-length fee.
Final Manuscript Upload:
1) Submit via EDAS by April 1, 2026.
2) Registration is required before upload.
3) PDF must comply with IEEE Xplore specs.
Publication:
Accepted papers will be included in IEEE Xplore, subject to:
1) At least one author must register at FULL rate.
2) The paper must be presented onsite by an author. No substitutions without approval.
3) Registration fees are non-refundable.
Presentation Policy:
In-person oral presentations only. No virtual presentations allowed. No-shows will be excluded from the proceedings.

Important Dates

Paper submission: Feb.27, 2026 

Notification of acceptance: Mar.14, 2026 

Registration Deadline for Authors:  Mar.30, 2026