169 citations · 374 across the 19 of their papers we have counts for
19 papers
MIMO-OFDM AI Receiver Based on Incrementally Conditioned Diffusion with Soft Decision
Weijie Zhou, Zhaoyang Zhang, Zhixian Kong +1
Conventional iterative receiver usually begins with channel estimation using sparse pilot observations and follows with data detection based on the channel estimates, and then upda…
Physics-Inspired Target Shape Detection and Reconstruction in mmWave Communication Systems
Ziqing Xing, Zhaoyang Zhang, Xin Tong +2
The integration of sensing and communication (ISAC) is an essential function of future wireless systems. Due to its large available bandwidth, millimeter-wave (mmWave) ISAC systems…
Computational Imaging-Based ISAC Method with Large Pixel Division
Xin Tong, Zhaoyang Zhang, Zhaohui Yang +2
One of the key points in designing an integrated sensing and communication (ISAC) system using computational imaging is the division size of imaging pixels. If the size is too smal…
Fair Resource Allocation for Probabilistic Semantic Communication in IIoT
Siyun Liang, Zhouxiang Zhao, Chen Zhu +4
In this paper, the problem of minimum rate maximization for probabilistic semantic communication (PSCom) in industrial Internet of Things (IIoT) is investigated. In the considered…
Channel Mapping Based on Interleaved Learning with Complex-Domain MLP-Mixer
Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +1
In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, representing the whole channel only based on partial subchannels will significan…
An Edge-Cloud Collaboration Framework for Generative AI Service Provision with Synergetic Big Cloud Model and Small Edge Models
Yuqing Tian, Zhaoyang Zhang, Yuzhi Yang +5
Generative artificial intelligence (GenAI) offers various services to users through content creation, which is believed to be one of the most important components in future network…
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…
Semantic Information Extraction for Text Data with Probability Graph
Zhouxiang Zhao, Zhaohui Yang, Ye Hu +2
In this paper, the problem of semantic information extraction for resource constrained text data transmission is studied. In the considered model, a sequence of text data need to b…
Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions
Zirui Chen, Zhaoyang Zhang, Zhaohui Yang
Recently, big artificial intelligence models (BAIMs) represented by chatGPT have brought an incredible revolution. With the pre-trained BAIMs in certain fields, numerous downstream…
MIMO Precoding Design with QoS and Per-Antenna Power Constraints
Kaiyi Chi, Yingzhi Huang, Qianqian Yang +2
Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (W…
GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning
Jiacheng Yao, Zhaohui Yang, Wei Xu +2
Due to the dynamics of wireless environment and limited bandwidth, wireless federated learning (FL) is challenged by frequent transmission errors and incomplete aggregation from de…
Semantic-aware Digital Twin for Metaverse: A Comprehensive Review
Senthil Kumar Jagatheesaperumal, Zhaohui Yang, Qianqian Yang +4
To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information ex…
From Data-driven Learning to Physics-inspired Inferring: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE
Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen +3
In this paper, we propose an innovative learning-based channel prediction scheme so as to achieve higher prediction accuracy and reduce the requirements of huge amounts and strict…
Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning
Fenghao Zhu, Bohao Wang, Zhaohui Yang +5
Beamforming with large-scale antenna arrays has been widely used in recent years, which is acknowledged as an important part in 5G and incoming 6G. Thus, various techniques are lev…
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…
Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaverse
Yijing Lin, Hongyang Du, Dusit Niyato +4
The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between…
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc-Viet Pham, Rukhsana Ruby +3
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by enhancing the trust of end-users in machines. As the number of connected devi…
Privacy-preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet
Minrui Xu, Dusit Niyato, Zhaohui Yang +5
Federated edge learning (FEL) is a promising paradigm of distributed machine learning that can preserve data privacy while training the global model collaboratively. However, FEL i…
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri +5
Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of th…