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arXiv · 2406.12268

Advancing Ubiquitous Wireless Connectivity through Channel Twinning

Yashuai Cao·Linglong Dai·Jingbo Tan·Jintao Wang·Tianyue Zheng·Wei Ni·Ekram Hossain·Dusit Niyato
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Abstract

As an emerging trend in channel acquisition (CA), the concept of channel twinning (CT) has been proposed as a powerful enabler of ubiquitous connectivity in next-generation (xG) wireless systems. By fusing multimodal sensor data, CT advocates a high-fidelity and low-overhead CA paradigm, which is promising to provide accurate channel prediction in cross-domain and high-mobility scenarios of ubiquitous xG networks. However, existing literature lacks a universal CT architecture to address the challenges of heterogeneous scenarios, data, and resources in xG networks, which hinders the widespread deployment and applications of CT. This article discusses a new modularized CT architecture to bridge scene recognition, cooperative sensing, and decentralized training, comprising versatile model configuration, multimodal cooperative sensing, and lightweight twin modeling modules. Additionally, this article presents a detailed concept, technical features, and case studies of CT, outlines mainstream trends of realization methods, followed by potential applications of CT-empowered ubiquitous connectivity, and issues requiring future investigations.

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Yashuai Cao, Linglong Dai, Jingbo Tan, Jintao Wang, Tianyue Zheng, Wei Ni, Ekram Hossain, Dusit Niyato. 2024-06-18. Advancing Ubiquitous Wireless Connectivity through Channel Twinning. https://doi.org/10.1109/mcom.001.2400476

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