Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Zheng, Tianyue"'
Autor:
Hu, Pengfei, Qian, Yuhang, Zheng, Tianyue, Li, Ang, Chen, Zhe, Gao, Yue, Cheng, Xiuzhen, Luo, Jun
Given the wide adoption of multimodal sensors (e.g., camera, lidar, radar) by autonomous vehicles (AVs), deep analytics to fuse their outputs for a robust perception become imperative. However, existing fusion methods often make two assumptions rarel
Externí odkaz:
http://arxiv.org/abs/2410.09747
Radio-Frequency (RF)-based Human Activity Recognition (HAR) rises as a promising solution for applications unamenable to techniques requiring computer visions. However, the scarcity of labeled RF data due to their non-interpretable nature poses a sig
Externí odkaz:
http://arxiv.org/abs/2410.19766
Channel coding is vital for reliable data transmission in modern wireless systems, and its significance will increase with the emergence of sixth-generation (6G) networks, which will need to support various error correction codes. However, traditiona
Externí odkaz:
http://arxiv.org/abs/2410.03364
Autor:
Tang, Yongyang, Chen, Zhe, Li, Ang, Zheng, Tianyue, Lin, Zheng, Xu, Jia, Lv, Pin, Sun, Zhe, Gao, Yue
Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the need for effective cardiac monitoring and early warning systems. Existin
Externí odkaz:
http://arxiv.org/abs/2410.00392
Autor:
Chen, Zhe, Hu, Chao, Zheng, Tianyue, Cao, Hangcheng, Yang, Yanbing, Chu, Yen, Jiang, Hongbo, Luo, Jun
Whereas Wi-Fi communications have been exploited for sensing purpose for over a decade, the bistatic or multistatic nature of Wi-Fi still poses multiple challenges, hampering real-life deployment of integrated sensing and communication (ISAC) within
Externí odkaz:
http://arxiv.org/abs/2408.09851
Near-field beam training is essential for acquiring channel state information in 6G extremely large-scale multiple input multiple output (XL-MIMO) systems. To achieve low-overhead beam training, existing method has been proposed to leverage the near-
Externí odkaz:
http://arxiv.org/abs/2406.07989
In extremely large-scale multiple input multiple output (XL-MIMO) systems for future sixth-generation (6G) communications, codebook-based beam training stands out as a promising technology to acquire channel state information (CSI). Despite their eff
Externí odkaz:
http://arxiv.org/abs/2401.01673
Positioning is an essential service for various applications and is expected to be integrated with existing communication infrastructures in 5G and 6G. Though current Wi-Fi and cellular base stations (BSs) can be used to support this integration, the
Externí odkaz:
http://arxiv.org/abs/2310.06336
The contact-free sensing nature of Wi-Fi has been leveraged to achieve privacy breaches, yet existing attacks relying on Wi-Fi CSI (channel state information) demand hacking Wi-Fi hardware to obtain desired CSIs. Since such hacking has proven prohibi
Externí odkaz:
http://arxiv.org/abs/2309.03492
Having been studied for more than a decade, Wi-Fi human sensing still faces a major challenge in the presence of multiple persons, simply because the limited bandwidth of Wi-Fi fails to provide a sufficient range resolution to physically separate mul
Externí odkaz:
http://arxiv.org/abs/2308.10234