56 citations · 107 across the 14 of their papers we have counts for
14 papers
Joint Beamforming and Illumination Pattern Design for Beam-Hopping LEO Satellite Communications
Jing Wang, Chenhao Qi, Shui Yu +1
Since hybrid beamforming (HBF) can approach the performance of fully-digital beamforming (FDBF) with much lower hardware complexity, we investigate the HBF design for beam-hopping…
Refracting Reconfigurable Intelligent Surface Assisted URLLC for Millimeter Wave High-Speed Train Communication Coverage Enhancement
Changzhu Liu, Ruisi He, Yong Niu +3
High-speed train (HST) has garnered significant attention from both academia and industry due to the rapid development of railways worldwide. Millimeter wave (mmWave) communication…
Sum Rate Maximization under AoI Constraints for RIS-Assisted mmWave Communications
Ziqi Guo, Yong Niu, Shiwen Mao +4
The concept of age of information (AoI) has been proposed to quantify information freshness, which is crucial for time-sensitive applications. However, in millimeter wave (mmWave)…
Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems
Yunhan Ma, Yong Niu, Shiwen Mao +5
Demands for data traffic in high-speed railway (HSR) has increased drastically. The increasing entertainment needs of passengers, safety control information exchanges of trains, et…
Joint Optimization of Resource Allocation and User Association in Multi-Frequency Cellular Networks Assisted by RIS
Yuanyuan Qiao, Yong Niu, Zhu Han +5
Due to the development of communication technology and the rise of user network demand, a reasonable resource allocation for wireless networks is the key to guaranteeing regular op…
Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence
Minrui Xu, Dusit Niyato, Hongliang Zhang +4
With the rapid development of artificial general intelligence (AGI), various multimedia services based on pretrained foundation models (PFMs) need to be effectively deployed. With…
Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services
Minrui Xu, Dusit Niyato, Hongliang Zhang +4
Aiming at achieving artificial general intelligence (AGI) for Metaverse, pretrained foundation models (PFMs), e.g., generative pretrained transformers (GPTs), can effectively provi…
Guiding AI-Generated Digital Content with Wireless Perception
Jiacheng Wang, Hongyang Du, Dusit Niyato +5
Recent advances in artificial intelligence (AI), coupled with a surge in training data, have led to the widespread use of AI for digital content generation, with ChatGPT serving as…
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
Minrui Xu, Hongyang Du, Dusit Niyato +9
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This s…
Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services
Hongyang Du, Zonghang Li, Dusit Niyato +4
As Metaverse emerges as the next-generation Internet paradigm, the ability to efficiently generate content is paramount. AIGenerated Content (AIGC) emerges as a key solution, yet t…
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses
Minrui Xu, Dusit Niyato, Junlong Chen +5
In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensi…
Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse
Minrui Xu, Dusit Niyato, Hongliang Zhang +4
Metaverse seamlessly blends the physical world and virtual space via ubiquitous communication and computing infrastructure. In transportation systems, the vehicular Metaverse can p…
Wireless Sensing Data Collection and Processing for Metaverse Avatar Construction
Jiacheng Wang, Hongyang Du, Xiaolong Yang +3
Recent advances in emerging technologies such as artificial intelligence and extended reality have pushed the Metaverse, a virtual, shared space, into reality. In Metaverse, users…
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
Zhiwei Hao, Guanyu Xu, Yong Luo +3
Recently, deploying deep neural network (DNN) models via collaborative inference, which splits a pre-trained model into two parts and executes them on user equipment (UE) and edge…