56 citations · 219 across the 24 of their papers we have counts for
13 papers · 1 filter
Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations
Bohao Wang, Zitao Shuai, Fenghao Zhu +6
Multimodal fingerprinting is a crucial technique to sub-meter 6G integrated sensing and communications (ISAC) localization, but two hurdles block deployment: (i) the contribution e…
Robust Continuous-Time Beam Tracking with Liquid Neural Network
Fenghao Zhu, Xinquan Wang, Chongwen Huang +6
Millimeter-wave (mmWave) technology is increasingly recognized as a pivotal technology of the sixth-generation communication networks due to the large amounts of available spectrum…
A Joint Communication and Computation Design for Distributed RISs Assisted Probabilistic Semantic Communication in IIoT
Zhouxiang Zhao, Zhaohui Yang, Chongwen Huang +5
In this paper, the problem of spectral-efficient communication and computation resource allocation for distributed reconfigurable intelligent surfaces (RISs) assisted probabilistic…
Resource Allocation for Green Probabilistic Semantic Communication with Rate Splitting
Ruopeng Xu, Zhaohui Yang, Zhouxiang Zhao +2
In this paper, the energy efficient design for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA) is investigated. Basic principles are fi…
A Superposition Code-Based Semantic Communication Approach with Quantifiable and Controllable Security
Weixuan Chen, Shuo Shao, Qianqian Yang +2
This paper addresses the challenge of achieving security in semantic communication (SemCom) over a wiretap channel, where a legitimate receiver coexists with an eavesdropper experi…
Multi-Sources Information Fusion Learning for Multi-Points NLOS Localization
Bohao Wang, Fenghao Zhu, Mengbing Liu +5
Accurate localization of mobile terminals is crucial for integrated sensing and communication systems. Existing fingerprint localization methods, which deduce coordinates from chan…
Point Cloud in the Air
Yulin Shao, Chenghong Bian, Li Yang +3
Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and…
Semantic Communication with Probability Graph: A Joint Communication and Computation Design
Zhouxiang Zhao, Zhaohui Yang, Quoc-Viet Pham +2
In this paper, we present a probability graph-based semantic information compression system for scenarios where the base station (BS) and the user share common background knowledge…
The Model Inversion Eavesdropping Attack in Semantic Communication Systems
Yuhao Chen, Qianqian Yang, Zhiguo Shi +1
In recent years, semantic communication has been a popular research topic for its superiority in communication efficiency. As semantic communication relies on deep learning to extr…
Information-Theoretic Limits on Compression of Semantic Information
Jiancheng Tang, Qianqian Yang, Zhaoyang Zhang
As conventional communication systems based on classic information theory have closely approached the limits of Shannon channel capacity, semantic communication has been recognized…
Contrastive Learning based Semantic Communication for Wireless Image Transmission
Shunpu Tang, Qianqian Yang, Lisheng Fan +3
Recently, semantic communication has been widely applied in wireless image transmission systems as it can prioritize the preservation of meaningful semantic information in images o…
Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control
Shiqi Wang, Qianqian Yang, Zhiguo Shi +2
Real-time intelligence applications in Internet of Things (IoT) environment depend on timely data communication. However, it is challenging to transmit and analyse massive data of…
Resource Allocation for Capacity Optimization in Joint Source-Channel Coding Systems
Kaiyi Chi, Qianqian Yang, Zhaohui Yang +2
Benefited from the advances of deep learning (DL) techniques, deep joint source-channel coding (JSCC) has shown its great potential to improve the performance of wireless transmiss…