6 papers
Voxel-CKM: Voxelized Radio Frequency Radiance Fields for Fast and Few-Shot CKM Construction
Hanlei Li, Guangyi Zhang, Kequan Zhou +2
Channel knowledge maps (CKMs) are designed to predict channel state information (CSI) from user locations, thereby enabling low-overhead CSI acquisition. However, existing CKM cons…
Location-Agnostic Channel Knowledge Map Construction for Dynamic Scenes
Kequan Zhou, Guangyi Zhang, Hanlei Li +2
To alleviate the pilot and CSI-feedback burden in 6G, channel knowledge map (CKM) has emerged as a promising approach that predicts CSI solely from user locations. Nevertheless, ac…
F-CKM: Learning Channel Knowledge Map with Radio Frequency Radiance Field Rendering
Kequan Zhou, Guangyi Zhang, Hanlei Li +3
In 6G mobile communications, acquiring accurate and timely channel state information (CSI) becomes increasingly challenging due to the growing antenna array size and bandwidth. To…
ROME: Robust Model Ensembling for Semantic Communication Against Semantic Jamming Attacks
Kequan Zhou, Guangyi Zhang, Yunlong Cai +2
Recently, semantic communication (SC) has garnered increasing attention for its efficiency, yet it remains vulnerable to semantic jamming attacks. These attacks entail introducing…
Towards Compatible Semantic Communication: A Perspective on Digital Coding and Modulation
Guangyi Zhang, Kequan Zhou, Yunlong Cai +2
Semantic communication (SC) is emerging as a pivotal innovation within the 6G framework, aimed at enabling more intelligent transmission. This development has led to numerous studi…
Coarse-to-Fine: A Dual-Phase Channel-Adaptive Method for Wireless Image Transmission
Hanlei Li, Guangyi Zhang, Kequan Zhou +2
Developing channel-adaptive deep joint source-channel coding (JSCC) systems is a critical challenge in wireless image transmission. While recent advancements have been made, most e…