4 papers
MA-HEAD-Net: Adaptive Rule-Guided Multi-Agent DRL for AoI Minimization in UAV-Assisted Emergency Networks
Yixin Zhang, Zhuohui Yao, Wenchi Cheng +1
In post-disaster scenarios, unmanned aerial vehicles (UAVs) are critical for establishing emergency communication networks. For time-critical rescue missions, information freshness…
Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression
Kexin Zhang, Xin Zhang, Lixin Li +3
Due to their flexibility and dynamic coverage capabilities, Unmanned Aerial Vehicles (UAVs) have emerged as vital platforms for emergency communication in disaster-stricken areas.…
SC-CDM: Enhancing Quality of Image Semantic Communication with a Compact Diffusion Model
Kexin Zhang, Lixin Li, Wensheng Lin +3
Semantic Communication (SC) is an emerging technology that has attracted much attention in the sixth-generation (6G) mobile communication systems. However, few literature has fully…
SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications
Yuna Yan, Lixin Li, Xin Zhang +3
Most current Deep Learning-based Semantic Communication (DeepSC) systems are designed and trained exclusively for particular single-channel conditions, which restricts their adapta…