29 citations · 43 across the 36 of their papers we have counts for
25 papers · 1 filter
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…
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
Qiushuo Hou, Sangwoo Park, Matteo Zecchin +4
Large language models (LLMs) are emerging as key enablers of automation in domains such as telecommunications, assisting with tasks including troubleshooting, standards interpretat…
Quantize-Sample-and-Verify: LLM Acceleration via Adaptive Edge-Cloud Speculative Decoding
Guangyi Zhang, Yunlong Cai, Guanding Yu +2
In edge-cloud speculative decoding (SD), edge devices equipped with small language models (SLMs) generate draft tokens that are verified by large language models (LLMs) in the clou…
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…
Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models
Pujing Yang, Guangyi Zhang, Yunlong Cai
Recent advances in deep learning-based joint source-channel coding (DJSCC) have shown promise for end-to-end semantic image transmission. However, most existing schemes primarily f…
Digital Wireless Image Transmission via Distribution Matching
Pujing Yang, Guangyi Zhang, Yunlong Cai
Deep learning-based joint source-channel coding (JSCC) is emerging as a potential technology to meet the demand for effective data transmission, particularly for image transmission…
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…
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments
Qiushuo Hou, Mengyuan Lee, Guanding Yu +1
With the great success of deep learning (DL) in image classification, speech recognition, and other fields, more and more studies have applied various neural networks (NNs) to wire…
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…
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…
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…
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…
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…