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20162024
most citedDeep-Unfolding for Next-Generation Transceivers

2 citations · 6 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.SP2023

Rate-Adaptive Coding Mechanism for Semantic Communications With Multi-Modal Data

Yangshuo He, Guanding Yu, Yunlong Cai

Recently, the ever-increasing demand for bandwidth in multi-modal communication systems requires a paradigm shift. Powered by deep learning, semantic communications are applied to…

eess.SP20232 cited

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…

eess.SP2023

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…

eess.SP20231 cited

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…

eess.SP2023

Design and Performance Analysis of Wireless Legitimate Surveillance Systems with Radar Function

Mianyi Zhang, Yinghui He, Yunlong Cai +2

Integrated sensing and communication (ISAC) has recently been considered as a promising approach to save spectrum resources and reduce hardware cost. Meanwhile, as information secu…

eess.SP2021

Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems

Yanzhen Liu, Qiyu Hu, Yunlong Cai +2

In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the act…