29 citations · 83 across the 25 of their papers we have counts for
19 papers · 1 filter
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…
From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication
Guangyi Zhang, Pujing Yang, Yunlong Cai +2
Recent studies in joint source-channel coding (JSCC) have fostered a fresh paradigm in end-to-end semantic communication. Despite notable performance achievements, present initiati…
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…
SCAN: Semantic Communication with Adaptive Channel Feedback
Guangyi Zhang, Qiyu Hu, Yunlong Cai +1
In existing semantic communication systems for image transmission, some images are generally reconstructed with considerably low quality. As a result, the reliable transmission of…
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…
A Unified Multi-Task Semantic Communication System for Multimodal Data
Guangyi Zhang, Qiyu Hu, Zhijin Qin +3
Task-oriented semantic communications have achieved significant performance gains. However, the employed deep neural networks in semantic communications have to be updated when the…
Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme
Yubo Wan, An Liu, Qiyu Hu +2
The time of arrival (TOA)-based localization techniques, which need to estimate the delay of the line-of-sight (LoS) path, have been widely employed in location-aware networks. To…
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Qiyu Hu, Guangyi Zhang, Zhijin Qin +3
Although semantic communications have exhibited satisfactory performance for a large number of tasks, the impact of semantic noise and the robustness of the systems have not been w…
A Unified Multi-Task Semantic Communication System with Domain Adaptation
Guangyi Zhang, Qiyu Hu, Zhijin Qin +2
The task-oriented semantic communication systems have achieved significant performance gain, however, the paradigm that employs a model for a specific task might be limited, since…
Robust Semantic Communications Against Semantic Noise
Qiyu Hu, Guangyi Zhang, Zhijin Qin +3
Although the semantic communications have exhibited satisfactory performance in a large number of tasks, the impact of semantic noise and the robustness of the systems have not bee…
DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning
Qiyu Hu, Shuhan Shi, Yunlong Cai +1
Deep-unfolding neural networks (NNs) have received great attention since they achieve satisfactory performance with relatively low complexity. Typically, these deep-unfolding NNs a…
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…
Deep-Unfolding Neural-Network Aided Hybrid Beamforming Based on Symbol-Error Probability Minimization
S. Shi, Y. Cai, Q. Hu +2
In massive multiple-input multiple-output (MIMO) systems, hybrid analog-digital (AD) beamforming can be used to attain a high directional gain without requiring a dedicated radio f…
Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems
Yanzhen Liu, Qiyu Hu, Yunlong Cai +1
In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading…