News

Special Issue: Call for Papers

Please find the the deatils about this Speciall Issue on AI-native Smart Radio Environments for 6G within the IEEE Network Journal with Dr. Maged Elkashlan as Guest Editor. More details can be found at the following link:

https://www.comsoc.org/publications/magazines/ieee-network/cfp/ai-native-smart-radio-environments-6g-evolving-conventional

Important Dates:

Manuscript Submission Deadline: 30 September 2026
Initial Decision: 1 January 2027
Revision Manuscript Due: 1 February 2027
Final Decision: 1 March 2027
Final Manuscript Due: 15 March 2027
Publication Date: June 2027

Scope

The sixth generation (6G) of wireless networks is expected to transform communication systems from highly connected infrastructures into fully intelligent and autonomous ecosystems. Central to this vision is the concept of self-governing networks, which can autonomously perceive their environment, make intelligent decisions, and execute actions without human intervention. Unlike current "AI for Wireless" approaches, where artificial intelligence is typically used as an external optimization tool, self-governing networks integrate AI directly into the network architecture, enabling proactive and system-wide management.

This paradigm shift is particularly important as future 6G systems combine terrestrial, aerial, and satellite platforms, creating highly dynamic and complex operating environments. To address these challenges, networks must continuously monitor their context, formulate policies that optimize long-term objectives, and dynamically adapt resources and topology through programmable infrastructure.

This Special Issue aims to establish the architectural and algorithmic foundations of AI-native self-governing wireless networks. It focuses on the complete autonomy lifecycle, including environmental sensing, situational awareness, intelligent reasoning, policy generation, distributed coordination, and autonomous actuation. Contributions are sought on technologies that enable networks to autonomously manage communication, computing, caching, and networking resources while adapting to changing conditions.

The Special Issue particularly welcomes experimental and practical contributions, including real-world testbeds, hardware prototypes, proof-of-concept implementations, and industry–academia collaborations that demonstrate the feasibility of self-governing architectures.

In line with the mission of IEEE Network, submissions should emphasize system-level impact, architectural innovation, and cross-layer autonomy. Authors are encouraged to highlight network- and architecture-level implications rather than focusing exclusively on physical-layer signal processing or mathematical optimization.