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Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS
Kangjian Chen, Chenhao Qi, Octavia A. Dobre +1
This paper investigates an integrated sensing and communication (ISAC) system with reconfigurable intelligent surface (RIS). Our simultaneous beam training and target sensing (SBTT…
RIS-Enhanced Semantic Communications Adaptive to User Requirements
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Semantic communication significantly reduces required bandwidth by understanding semantic meaning of the transmitted. However, current deep learning-based semantic communication me…
Sparse Decentralized Federated Learning
Shan Sha, Shenglong Zhou, Lingchen Kong +1
Decentralized Federated Learning (DFL) enables collaborative model training without a central server but faces challenges in efficiency, stability, and trustworthiness due to commu…
Deep Unfolding-Based Channel Estimation for Wideband TeraHertz Near-Field Massive MIMO Systems
Jiabao Gao, Xiaoming Cheng, Geoffrey Ye Li
The combination of Terahertz (THz) and massive multiple-input multiple-output (MIMO) is promising to meet the increasing data rate demand of future wireless communication systems t…
Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems
Weixiao Wan, Wei Chen, Shiyue Wang +2
Scalability is a major concern in implementing deep learning (DL) based methods in wireless communication systems. Given various channel reconstruction tasks, applying one DL model…
Semantic-Aware Image Compressed Sensing
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Deep learning based image compressed sensing (CS) has achieved great success. However, existing CS systems mainly adopt a fixed measurement matrix to images, ignoring the fact the…
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…
QoE-based Semantic-Aware Resource Allocation for Multi-Task Networks
Lei Yan, Zhijin Qin, Chunfeng Li +3
By transmitting task-related information only, semantic communications yield significant performance gains over conventional communications. However, the lack of mature semantic th…
Semantic Communication with Memory
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
While semantic communication succeeds in efficiently transmitting due to the strong capability to extract the essential semantic information, it is still far from the intelligent o…
Semantic Communications with Variable-Length Coding for Extended Reality
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Wireless extended reality (XR) has attracted wide attentions as a promising technology to improve users' mobility and quality of experience. However, the ultra-high data rate requi…
AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li
In wideband millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, channel estimation is challenging due to the hybrid analog-digital architecture, which c…