Large-scale multimodal data are a key enabler for integrating large generative artificial intelligence models into wireless networks. However, existing wireless datasets offer limited support for heterogeneous environments, particularly in terms of reusable high-fidelity scenes, scalable differentiable ray tracing, and...
Bo-Hao Wang, Tian Yuan, W. Yen et al.· 0 citations
A passive extremely large-scale reconfigurable intelligent surface (XL-RIS) offers a position-sensitive aperture for near-field sensing, but its element-wise signals are not directly observed. Recovering this virtual RIS observation (VOR) from fewer base-station measurements requires prior information. This paper inves...
Tuo Wu, Jie Tang, Jia-Cheng Wang et al.· 0 citations
Stacked Intelligent Metasurfaces (SIMs) are promising for next-generation multi-input multi-output (MIMO) systems, as they can realize low-cost and energy-efficient wavedomain transformations. However, SIM-assisted MIMO systems face challenging channel estimation and beamforming optimization, since passive SIM elements...
Yu-Zhi Yang, Hao Liu, Lu Gan et al.· International Symposium on W...· 0 citations
This paper serves as a foundation for researchers and practitioners to explore the key concepts, primary applications, and potential impacts of xApps in the open radio access network (O-RAN) architecture. We provide background information and examples related to xApps and discuss several fundamental concepts to familia...
Christof A. O. Rauber, Mohammad Asif Habibi, X. Costa-Pérez et al.· IEEE Open Journal of the Com...· 0 citations
Radio maps and channel knowledge maps provide reusable propagation knowledge, but a stored map can become locally outdated after persistent changes to doors, partitions, furniture, large equipment, or infrastructure. Motivated by digital-twin state synchronization, we develop an electromagnetic twin that recurrently co...
Accurate multi-user localization is challenging in complex urban environments, where wireless measurements can become ambiguous under noise, blockage, and multipath, while visual observations provide complementary spatial context. This paper presents a vision-wireless fusion framework for multi-user localization using...
Can Zheng, Ji-Guang He, Guo-Fa Cai et al.· 0 citations
The acquisition of high-dimensional channel state information (CSI) in wireless MIMO-OFDM communications usually requires high pilot overhead, or relies on accurate and complete positional or environmental information. In this paper, we propose a geometry-aided channel deduction (GCD) approach, which utilizes an uncali...
Hong-Ning Ruan, Zhao-Yang Zhang, Zi-Rui Chen et al.· 0 citations
A unified architectural framework is proposed that explicitly integrates TN M&O within the SMO, leveraging key principles from a set of standard-compliant frameworks, and enables coordinated M&O of compute, storage, and TN resources.
Khurshid Alam, Mohammad Asif Habibi, X. Costa-Pérez et al.· IEEE Open Journal of the Com...· 0 citations
A generative formulation for RF sensing, where millimeter-wave/terahertz channel gains are mapped to captions describing multi-level environmental semantics, and this framework achieves superior performance with a broader semantic scope, and enables task-unified sensing beyond predefined tasks.
Tian-Yu Hu, Zhi-Ren Gong, Hao-Wei Cui et al.· IEEE Wireless Communications...· 0 citations
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