Special Issue on “Digital Twins for Open, Programmable, and AI-driven Wireless Networks” in ComNet

We are preparing a special issue in the International Journal of Computer and Telecommunications Networking – ComNet (Elsevier; Impact factor: 5.6) on “Digital Twins for Open, Programmable, and AI-driven Wireless Networks“.

See the CFP here.

A Digital Twin (DT) serves as a highly realistic digital version of real-world entities, assists the development and evaluation of complex systems such as wireless networks, offers real-time insights into such systems behavior and performance, and enables optimized control of the twinned physical entities. DTs serve as safe environments for testing different setups of real systems without affecting their performance or user experience. Complementing this, Artificial Intelligence (AI) augments these insights with advanced analytics and decision-making capabilities, enabling automated configuration and optimization, and self-healing of complicated systems such as wireless networks. The high-fidelity DTs also make it easier to collect data for training AI models, offering flexibility and automation that is hard to achieve in the physical world. This Special Issue delves into the realm of enabling DT-based techniques for open, programmable, and AI-driven wireless networks in 5G and beyond. With a spotlight on AI and end-to-end virtualization through DTs, the goal is to elucidate the potential, challenges, and future trajectory of this integration. The convergence of DTs and AI not only facilitates modeling and simulation but also paves the way for dynamic network environments where seamless interactions between physical and virtual entities thrive.

To this end, the Journal of Computer and Telecommunications Networking (ComNet) prepares a special issue on “Digital Twins for Open, Programmable, and AI-driven Wireless Networks” and invites high-quality submissions covering topics including but not limited to: DTs for Open Radio Access Network (Open RAN); Methodologies for testing and integrating DTs within Open RAN ecosystems, ensuring interoperability, standardization, and security; DT-assisted 6G networks; DTs for autonomous and UAV networks; AI/ML for DT-assisted wireless networks; Security and privacy in DT-assisted 6G networks; Empirical inquiries, case studies, industry reports, taxonomies, and high-quality surveys of DTs for wireless networks; DT architectures for networked systems.

Manuscript submission information

The journal’s submission platform (EditorialManager®) will be available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of “VSI: DTWN” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Networks | Journal | ScienceDirect.com by Elsevier.

Important dates

Submissions open: May 31, 2024
Submission deadline: October 15, 2024
Editorial acceptance deadline: February 28, 2025

Further information

If you have any questions or require additional information about this theme section, please contact the editors.


Pedram Johari
Northeastern University, US

Mohammad Shojafar
University of Surrey, UK

Ahmed Alkhateeb
Arizona State University, US

Istvan David
McMaster University, Canada

Vishal Sharma
Queen’s University Belfast, UK

Marie-Jose Montpetit
McGill University, Canada