[IEICE-CS eNews<2025-35>]INFOCOM2026 Workshop 6G AI-RAN 2026 - CFP (DL:Jan.17,2026 [Extended])

December 23, 2025.

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CALL FOR PAPERS --- INFOCOM 2026 Workshop - 6G AI-RAN 2026
*** Deadline was extended to January 17th, 2026 ======================================================
The First Workshop on AI Native Distributed Intelligence for 6G Networks (6G AI-RAN 2026) - Call for Papers https://infocom2026.ieee-infocom.org/ieee-infocom-2026-81/pages/first-workshop-ai-native-distributed-intelligence-6g-networks-6g-ai-ran

This workshop will be held in conjunction with IEEE INFOCOM 2026 (May 18?21, 2026) in Tokyo, Japan.
It will focus on cutting-edge research and innovations toward realizing AI-native architectures for next-generation 6G networks.

New Submission Deadline: January 17, 2026 Page Limit: 6 pages

We look forward to your active contributions!

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[INFOCOM 6G AI-RAN'26] IEEE INFOCOM WKSHPS: 6G AI-RAN 2026: AI Native Distributed Intelligence for 6G Networks

Call for Papers

The First Workshop on AI Native Distributed Intelligence for 6G Networks (6G AI-RAN 2026) Organized in conjunction with IEEE INFOCOM 2026 May 18 2026, Tokyo, Japan https://infocom2026.ieee-infocom.org/ieee-infocom-2026-81/pages/first-workshop-ai-native-distributed-intelligence-6g-networks-6g-ai-ran

Important Dates (Updated!!)
- Paper Submission Deadline: January 17, 2026 (Extended)
- Acceptance Notification: February 9, 2026
- Camera Ready Due: February 16, 2026

As 5G networks evolve toward 6G, there is broad consensus that future wireless systems must be AI-native ? integrating advanced machine learning across radio access and core network operations from the ground up. In particular, the Radio Access Network (RAN) is undergoing a transformation via Open RAN architectures and intelligent controllers, enabling multi-vendor innovation and closed-loop automation (often termed AI-RAN). The intelligent transformation of core networks is also advancing. At the same time, emerging technologies such as Integrated Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (RIS), Non-Terrestrial Networks (NTN), and ultra-low-power network design are expanding the frontier of wireless capabilities. In this context, we propose the 6G/AI-RAN Symposium to bring together researchers and practitioners from academia, industry, and government to explore AI-native wireless networks for 6G, with a strong emphasis on cutting-edge subfields and real-world experimentation.
This workshop focuses on AI-native mobile networks, where learning-driven architectures, network operations, AI-enhanced signal processing, resource orchestration, massive and distributed MIMO control, spectrum allocation, and cross-layer control are treated as first-class design principles. We aim to bridge the wireless communications/networking domain with AI/ML systems, emphasizing deployable solutions and reproducible evaluations using open testbeds and datasets. The scope covers a wide range of topics (but is not limited to):

- Network for AI: RAN and backhaul architectures to support AI workloads at the edge; data and feature pipelines between devices, RAN, core, and cloud.
- AI for Network: Applications of AI/Machine Learning to network architecture design, resilient communications, defense against network attacks, distributed network function assignment, and radio resource management in the RAN.
- AI-native air interfaces: Learned waveforms and protocols, neural receivers, ML-aided channel estimation & signal detection, AI-assisted CFO/ICI mitigation, and adaptive coding/HARQ with AI in the loop.
- AI for RAN Control & Orchestration: Closed-loop control for scheduling, beamforming, massive and distributed MIMO, interference coordination, power control, network slicing, dynamic spectrum allocation and dynamic spectrum sharing via AI-driven RAN Intelligent Controllers.
- Distributed & Federated Edge Learning: On-device training, split learning and federated learning over wireless links, computing resource retrieval and assignment, privacy-preserving edge AI, security and adversarial resilience, and incentive mechanisms for data sharing.
- Open RAN & Disaggregation: Architectures and algorithms for open and virtualized RAN (O-RAN), including xApps/rApps, near-real-time (near-RT) and non-RT RAN Intelligent Controller (RIC) loops, AI-Ops for network management, intent-based networking, and energy-aware orchestration.
- 6G Enablers: Advanced physical-layer technologies and co-design with AI ? sub-THz communication, NTN (LEO satellite and HAPS integration), ISAC/JCS (Integrated Sensing and Communication / Joint Communications and Sensing), RIS for programmable radio environments and 6D localization, ultra-low-power wide-area (LPWA) networks for extreme coverage, and AI RAN techniques for resilient infrastructure.
- Evaluation Methodologies: Shared datasets, benchmarks, high-fidelity simulators, and open testbeds for AI-native networks; reproducibility checklists and best practices; new KPIs and trade offs (throughput vs. reliability, latency vs. energy efficiency, etc.) to evaluate AI-driven designs.
- Systems Implementation: Software-defined radio (SDR), FPGA/ASIC implementations of learning optimized physical layers, real-time inference on edge hardware, accelerator support (GPU/TPU) for RAN AI, green AI-RAN design for sustainability, and end-to-end prototypes and demos.
- Applications and Case Studies: AI-enabled network solutions for private 6G (local 6G), industrial IoT, V2X autonomous driving networks, extended reality (XR) and the metaverse, public safety communications, and cyber-resilient “lifeline” networks for disaster response.

Submission Procedure
Manuscripts should conform to the IEEE INFOCOM Workshops format and policies and must not exceed six pages in length. Papers should be submitted electronically through the workshop submission site https://edas.info/login.php?rurl=aHR0cHM6Ly9lZGFzLmluZm8vTjM0NjM0P2M9MzQ2MzQ= . All accepted papers will be published in IEEE Xplore and indexed in the major databases (contingent on authors registering and presenting at the workshop).
Selected outstanding papers may be invited for fast-track journal publication (subject to partner journal approval).

General Chair
- Akihiro Nakao The University of Tokyo, Japan Technical Program Committee Chairs
- Dileepa Marasinghe University of Oulu, Finland
- Hideki Tode Osaka Metropolitan University, Japan
- Takeo Fujii The University of Electro-Communications, Japan

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