Task-Oriented Communication and Optimization Framework for 6G Non-Terrestrial Networks: Challenges and Solutions

With the evolution of 6G technology toward space-air-ground integration, Non-Terrestrial Networks (NTNs) face dual challenges of diverse task requirements and uncertain network environments due to their characteristics of wide-area coverage, dynamic node mobility, and constrained resources. Traditional communication architectures struggle to ensure quality-of-service for high-value tasks under dynamic topologies and limited resources, whereas the task-oriented communication framework has emerged as a promising solution to address the challenges of dynamic and resource-constrained 6G NTNs. In this article, we present a task-oriented 6G NTN framework to optimize communication and resource scheduling in mission-critical scenarios. By integrating path optimization, resource scheduling, low-latency prediction, and edge computing, the framework dynamically adapts to varying network conditions and prioritizes high-value tasks. Then, we provide a case study in disaster recovery scenarios to validate its effectiveness in ensuring reliable and low-latency communication while maintaining high resource efficiency. Finally, we explore key challenges and future research directions, paving the way for scalable and robust 6G NTN deployments.

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Publication Details

Journal
IEEE Communications Magazine
Published
2025-10-03
DOI
https://doi.org/10.1109/mcom.001.2500162
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
2.19
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article

Task-Oriented Communication and Optimization Framework for 6G Non-Terrestrial Networks: Challenges and Solutions

Anwer Al‐Dulaimi, Saba Al–Rubaye, Jiaming Pei, Minghui Dai et al.
3 citations
IEEE Communications Magazine
Advanced MIMO Systems Optimization
2.19
article

Task-Oriented Communication and Optimization Framework for 6G Non-Terrestrial Networks: Challenges and Solutions

Anwer Al‐Dulaimi, Saba Al–Rubaye, Jiaming Pei, Minghui Dai, Shahid Mumtaz
article en
3 citations

Abstract

With the evolution of 6G technology toward space-air-ground integration, Non-Terrestrial Networks (NTNs) face dual challenges of diverse task requirements and uncertain network environments due to their characteristics of wide-area coverage, dynamic node mobility, and constrained resources. Traditional communication architectures struggle to ensure quality-of-service for high-value tasks under dynamic topologies and limited resources, whereas the task-oriented communication framework has emerged as a promising solution to address the challenges of dynamic and resource-constrained 6G NTNs. In this article, we present a task-oriented 6G NTN framework to optimize communication and resource scheduling in mission-critical scenarios. By integrating path optimization, resource scheduling, low-latency prediction, and edge computing, the framework dynamically adapts to varying network conditions and prioritizes high-value tasks. Then, we provide a case study in disaster recovery scenarios to validate its effectiveness in ensuring reliable and low-latency communication while maintaining high resource efficiency. Finally, we explore key challenges and future research directions, paving the way for scalable and robust 6G NTN deployments.

IEEE Communications MagazineVol. 63(11)
The University of Sydney (AU), Donghua University (CN), Zayed University (AE)
Openalex Percentile: Top 11%
Advanced MIMO Systems Optimization
2.19
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