Digital Twin for Enhanced Resource Allocation in 6G Non-Terrestrial Networks

作者：Hayder Al-Hraishawi, Madyan Alsenwi, Junaid ur Rehman, Eva Lagunas, Symeon Chatzinotas · 发表于：IEEE Communications Magazine · 年份：2024 · DOI：10.1109/mcom.001.2400211 · 被引用次数：12 · 研究领域：Software-Defined Networks and 5G、Telecommunications and Broadcasting Technologies、Digital Transformation in Industry

Non-terrestrial networks (NTNs) are poised to play an important role in the future communication landscape, particularly with the advent of 6G technology. This article explores the integration of digital twin (DT) technology with 6G NTNs to enhance resource allocation and network management. We outline the vision and architecture for developing DT-NTNs, discussing key integration challenges such as data freshness, computational power, reliable interconnections, interoperability, and data security procedures. Various enabling technologies are also presented to facilitate integration and overcome these challenges. Moreover, a case study demonstrates the practical application of artificial intelligence (AI) and learning algorithms within DT-NTNs for optimizing network resources. Through these efforts, this article aims to provide insights and guidelines for developing highly intelligent and dynamic non-terrestrial communication systems in the era of 6G technology, particularly by proposing a novel DT-NTN-based resource allocation approach, and demonstrating the effectiveness of AI-driven optimization.