2 citations · 4 across the 7 of their papers we have counts for
7 papers
Feature Allocation for Semantic Communication with Space-Time Importance Awareness
Kequan Zhou, Guangyi Zhang, Yunlong Cai +3
In the realm of semantic communication, the significance of encoded features can vary, while wireless channels are known to exhibit fluctuations across multiple subchannels in diff…
Alleviating Distortion Accumulation in Multi-Hop Semantic Communication
Guangyi Zhang, Qiyu Hu, Yunlong Cai +1
Recently, semantic communication has been investigated to boost the performance of end-to-end image transmission systems. However, existing semantic approaches are generally based…
One-shot Learning for Channel Estimation in Massive MIMO Systems
Kai Kang, Qiyu Hu, Yunlong Cai +1
In conventional supervised deep learning based channel estimation algorithms, a large number of training samples are required for offline training. However, in practical communicat…
Deep-Unfolding for Next-Generation Transceivers
Qiyu Hu, Yunlong Cai, Guangyi Zhang +2
The stringent performance requirements of future wireless networks, such as ultra-high data rates, extremely high reliability and low latency, are spurring worldwide studies on def…
FAST: Feature Arrangement for Semantic Transmission
Kequan Zhou, Guangyi Zhang, Yunlong Cai +2
Although existing semantic communication systems have achieved great success, they have not considered that the channel is time-varying wherein deep fading occurs occasionally. Mor…
Adaptive CSI Feedback for Deep Learning-Enabled Image Transmission
Guangyi Zhang, Qiyu Hu, Yunlong Cai +1
Recently, deep learning-enabled joint-source channel coding (JSCC) has received increasing attention due to its great success in image transmission. However, most existing JSCC stu…