Advancing Ubiquitous Wireless Connectivity through Channel Twinning
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arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
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| _version_ | 1866915193195331584 |
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| author | Cao, Yashuai Dai, Linglong Tan, Jingbo Wang, Jintao Zheng, Tianyue Ni, Wei Hossain, Ekram Niyato, Dusit |
| author_facet | Cao, Yashuai Dai, Linglong Tan, Jingbo Wang, Jintao Zheng, Tianyue Ni, Wei Hossain, Ekram Niyato, Dusit |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_12268 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Advancing Ubiquitous Wireless Connectivity through Channel Twinning Cao, Yashuai Dai, Linglong Tan, Jingbo Wang, Jintao Zheng, Tianyue Ni, Wei Hossain, Ekram Niyato, Dusit Signal Processing 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. |
| title | Advancing Ubiquitous Wireless Connectivity through Channel Twinning |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2406.12268 |