9 papers
Cross-View Vision-Aided Proactive BS Selection and Beam Prediction for mmWave V2I Communications
Zijiao Hu, Haiyao Yu, Gaoyang Pang +6
This paper investigates environmental-sensing-aided proactive base station (BS) selection and beam prediction for millimeter-wave (mmWave) vehicle-to-infrastructure (V2I) wireless…
Semantic Error Control Coding with Foundation Models for Future Communications
Chentao Yue, Gaoyang Pang, Branka Vucetic +1
Classical channel decoding typically treats all information sequences as equally likely and relies primarily on the channel observations and code structure, without exploiting stat…
Toward Wireless Human-Machine Collaboration in the 6G Era
Gaoyang Pang, Wanchun Liu, Chentao Yue +4
The next industrial revolution, Industry 5.0, will be driven by advanced technologies that foster human-machine collaboration (HMC). It will leverage human creativity, judgment, an…
Policy-Guided MCTS for near Maximum-Likelihood Decoding of Short Codes
Y. Tian, C. Yue, P. Cheng +3
In this paper, we propose a policy-guided Monte Carlo Tree Search (MCTS) decoder that achieves near maximum-likelihood decoding (MLD) performance for short block codes. The MCTS de…
Medical Referring Image Segmentation via Next-Token Mask Prediction
Xinyu Chen, Yiran Wang, Gaoyang Pang +4
Medical Referring Image Segmentation (MRIS) involves segmenting target regions in medical images based on natural language descriptions. While achieving promising results, recent a…
Wireless Human-Machine Collaboration in Industry 5.0
Gaoyang Pang, Wanchun Liu, Dusit Niyato +3
Wireless Human-Machine Collaboration (WHMC) represents a critical advancement for Industry 5.0, enabling seamless interaction between humans and machines across geographically dist…