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Mobile Networks and Applications

The Journal of SPECIAL ISSUES on Mobility of Systems, Users, Data and Computing

Publishing model:
Hybrid
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Mobile Networks and Applications - Call for Papers: Artificial Intelligence for Integrated Terrestrial and Non-Terrestrial Networks

Aims and Scope

This Special Issue aims to contribute significantly to the evolving field of communication networks by focusing on the integration of Non-Terrestrial Networks (NTN) with Terrestrial Networks (TN), a transformation enabled by advancements in 5G and future 6G systems. The issue highlights how 3GPP Release 17 and future standards will push the boundaries of telecommunications beyond traditional networks, incorporating NTN technologies such as satellites, UAVs, and High Altitude Platform Stations (HAPS). These innovations will extend network coverage to remote and isolated areas, impacting sectors such as agriculture, transportation, and emergency response.

One of the key contributions of this Special Issue will be addressing the technical and regulatory challenges of integrating NTNs into TNs, including issues related to satellite mobility, Doppler shifts, frequency variations, and increased signal path loss. It will explore advanced solutions such as dynamic spectrum access strategies, resource allocation based on real-time system dynamics, and collaboration between satellite operators and mobile network providers. Furthermore, the issue will delve into the transformative potential of direct-to-device communication, which could disrupt traditional telecom business models by allowing NTN systems to connect directly to consumer devices like smartphones and IoT devices.

A major focus of the Special Issue will be on the role of Artificial Intelligence (AI) as an enabler in this integration process. AI-supported models will be critical for optimizing TN-NTN networks in dynamic environments, with applications in network management, energy efficiency, and AI-native air interfaces. The Special Issue will explore how AI can assist in real-time decision-making, resource management, and ensuring seamless integration between TN and NTN systems, while also addressing the challenges of gathering high-quality training data for these AI models.

In summary, this Special Issue will offer new insights into the technological, regulatory, and AI-driven innovations required to integrate NTN into TN, paving the way for the next generation of global communication networks.


Important Dates

Submission Deadline: 1 August 2025


Guest Editors

  • Muhammad Ali Jamshed, University of Glasgow, Glasgow, UK
  • Aryan Kaushik, Manchester Metropolitan University, UK
  • Eva Lagunas, University of Luxembourg, Luxembourg
  • Xingqin Lin, NVIDIA, USA
  • Hüseyin Arslan,  Istanbul Medipol University, Turkey

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