36 citations · 42 across the 12 of their papers we have counts for
12 papers
Decentralized Federated Learning with Distributed Aggregation Weight Optimization
Zhiyuan Zhai, Xiaojun Yuan, Xin Wang +1
Decentralized federated learning (DFL) is an emerging paradigm to enable edge devices collaboratively training a learning model using a device-to-device (D2D) communication manner…
Low-Complexity Multi-Target Detection in ELAA ISAC
Diluka Galappaththige, Shayan Zargari, Chintha Tellambura +1
Multi-target detection and communication with extremely large-scale antenna arrays (ELAAs) operating at high frequencies necessitate generating multiple beams. However, conventiona…
Learning Rate-Compatible Linear Block Codes: An Auto-Encoder Based Approach
Yukun Cheng, Wei Chen, Tianwei Hou +2
Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size a…
Downlink Beamforming for Cell-Free ISAC: A Fast Complex Oblique Manifold Approach
Shayan Zargari, Diluka Galappaththige, Chintha Tellambura +1
Cell-free integrated sensing and communication (CF-ISAC) systems are just emerging as an interesting technique for future communications. Such a system comprises several multiple-a…
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management
Kai Huang, Le Liang, Xinping Yi +3
In this paper, we consider a radio resource management (RRM) problem in the dynamic wireless networks, comprising multiple communication links that share the same spectrum resource…
Beam Prediction based on Large Language Models
Yucheng Sheng, Kai Huang, Le Liang +3
In this letter, we use large language models (LLMs) to develop a high-performing and robust beam prediction method. We formulate the millimeter wave (mmWave) beam prediction proble…
Optimization of Rate-Splitting Multiple Access with Integrated Sensing and Backscatter Communication
Diluka Galappaththige, Shayan Zargari, Chintha Tellambura +1
An integrated sensing and backscatter communication (ISABC) system is introduced herein. This system features a full-duplex (FD) base station (BS) that seamlessly merges sensing wi…
Environment Reconstruction based on Multi-User Selection and Multi-Modal Fusion in ISAC
Bo Lin, Chuanbin Zhao, Feifei Gao +1
Integrated sensing and communications (ISAC) has been deemed as a key technology for the sixth generation (6G) wireless communications systems. In this paper, we explore the inhere…
Federated Multi-View Synthesizing for Metaverse
Yiyu Guo, Zhijin Qin, Xiaoming Tao +1
The metaverse is expected to provide immersive entertainment, education, and business applications. However, virtual reality (VR) transmission over wireless networks is data- and c…
Compression Ratio Learning and Semantic Communications for Video Imaging
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Camera sensors have been widely used in intelligent robotic systems. Developing camera sensors with high sensing efficiency has always been important to reduce the power, memory, a…
Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications
Ding Shi, Linfeng Song, Wenqi Zhou +3
In this paper, we investigate channel acquisition for high frequency (HF) skywave massive multiple-input multiple-output (MIMO) communications with orthogonal frequency division mu…
Deep Learning-based CSI Feedback for RIS-assisted Multi-user Systems
Jiajia Guo, Xi Yang, Chao-Kai Wen +2
In the realm of reconfigurable intelligent surface (RIS)-assisted wireless communications, efficient channel state information (CSI) feedback is paramount. This paper introduces RI…