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 evolution toward disaggregated, cloud-native, and multi-vendor architectures, as demonstrated by the open radio access network (O-RAN), together with the stringent performance requirements of sixth-generation (6G) networks, necessitates advanced transport network (TN) management and orchestration (M&O). Such capabi...
Khurshid Alam, Mohammad Asif Habibi, X. Costa-Pérez et al.· IEEE Open Journal of the Com...· 0 citations
This letter investigates a task-unified multi-level radio-frequency (RF) sensing framework driven by vision-language models (VLMs). Existing RF sensing methods rely on task-specific designs and provide only partial environmental information, limiting their ability to handle emerging 6G applications. To address this, we...
Tianyu Hu, Zhi-Ren Gong, Hao-Wei Cui et al.· 0 citations
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