When digital twin meets 6G: Concepts, obstacles, and research prospects

A Denoising Diffusion Probabilistic Model-Based Digital Twinning of ISAC MIMO Channel

J Zhang, S Xu, Z Zhang, C Li… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Deep learning (DL) techniques have been extensively utilized to tackle challenges in the
field of wireless communication, overcoming the limitations of traditional methods. However …
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Efficient Updating of UGV-Assisted Reality Digital Twin: An AoDT-Oriented Approach

M Sun, J Tang, J Zhao - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Reality digital twin (DT) model needs to be updated periodically, then the physical entity can
be maintained efficiently. Since some physical entities may not be able to upload the entire …
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Task-Driven Delay Minimization for UAV-Assisted Mobile Crowdsensing Networks: A Joint Optimization Approach

X Deng, Y Fu, Q Zhu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In this work, we investigate a task-driven delay minimization problem for unmanned aerial
vehicle (UAV) enabled mobile crowdsensing (MCS) networks. Our focus is to reduce overall …
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Variable-Length XP-HARQ for URLLC

J Feng, Z Shi, Y Fu, H Wang, G Yang… - 2024 16th International …, 2024 - ieeexplore.ieee.org
A variable-length cross-packet hybrid automatic repeat request (VL-XP-HARQ) is proposed
to accommodate ultrareliable low-latency communications (URLLC). The spectral efficiency …
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[PDF] arxiv.org

Joint System Latency and Data Freshness Optimization for Cache-enabled Mobile Crowdsensing Networks

K Shi, Y Fu, Y Guo, FL Wang, Y Zhang - arXiv preprint arXiv:2501.14367, 2025 - arxiv.org
Mobile crowdsensing (MCS) networks enable large-scale data collection by leveraging the
ubiquity of mobile devices. However, frequent sensing and data transmission can lead to …
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