The rapid advancement of large language models (LLMs) is fundamentally transforming the landscape of sixth-generation (6G) communications and networking. 6G networks are envisioned to support immersive communication, ubiquitous connectivity, integrated sensing and communication, and native intelligence. To meet these ambitious goals, LLMs, with their outstanding comprehension, reasoning, and generalization capabilities, are poised to play a central role in physical-layer optimization, intelligent network management, and autonomous multi-agent coordination.

This special issue aims to consolidate cutting-edge research and foster interdisciplinary dialogue on the theoretical, algorithmic, and practical advancements of LLMs for 6G networks. We welcome contributions that address the open challenges in applying LLMs to next-generation 6G wireless networks. The scope of this special issue includes, but is not limited to, the following topics:

• LLMs-driven physical-layer design, e.g., LLMs-assisted channel estimation, beamforming design, channel coding/decoding, and signal detection, etc.
• LLMs-enabled network management and optimization, e.g., LLMs-based radio resource management, dynamic spectrum access, and cross-layer optimization
• LLMs-powered network agents for edge computing, IoT networking, network digital twins
• LLMs-enhanced integrated sensing and communication for 6G
• Foundation models and LLMs for wireless communications, e.g., diffusion models and generative AI for wireless signal processing
• Security and privacy mechanisms for LLMs-empowered 6G networks
• Testbed development and field trials for LLM-enabled 6G systems

All manuscripts submitted to the special issue will be subjected to peer review. Prospective authors should submit an electronic copy of their completed manuscript to https://mc03.manuscriptcentral.com/icnjournal with “Special Issue on Large Language Models for 6G Networks” as Article Type.

Important Date

Manuscript Due: November 30, 2026

Guest Editors

Prof. Haiyang Zhang

Nanjing University of Posts and Telecommunications, China

E-mail: haiyang.zhang@njupt.edu.cn

Prof. Wei Huang

Hefei University of Technology, China

E-mail: huangwei@hfut.edu.cn

Dr. Shugang Hao

Singapore University of Technology and Design, Singapore

E-mail: shugang_hao@alumni.sutd.edu.sg

Prof. Wei Liu

National University of Defense Technology, China

E-mail: wliu_nudt@nudt.edu.cn

Prof. Linglong Dai

Tsinghua University, China

E-mail: daill@tsinghua.edu.cn