no code implementations • 8 Apr 2024 • Taotao Ji, Meng Hua, ChunGuo Li, Yongming Huang, Luxi Yang
To reap the active and passive beamforming gain in an intelligent reflecting surface (IRS)-aided wireless network, a typical way is to first acquire the channel state information (CSI) relying on the pilot signal, and then perform the joint beamforming design.
no code implementations • 28 Nov 2023 • Zhengming Zhang, Yongming Huang, Cheng Zhang, Qingbi Zheng, Luxi Yang, Xiaohu You
In this paper, a framework consisting of a digital twin and reinforcement learning agents is present to handle the issue.
no code implementations • 28 Nov 2022 • Xiangyu Zhang, Zening Wang, Haiyang Zhang, Luxi Yang
In particular, we first formulate the XL-MIMO near-field channel estimation task as a compressed sensing problem using the spatial gridding-based sparsifying dictionary, and then solve the resulting problem by applying the Learning Iterative Shrinkage and Thresholding Algorithm (LISTA).
no code implementations • 2 Jul 2022 • Chong Zheng, Shengheng Liu, Yongming Huang, Wei zhang, Luxi Yang
In this article, we propose an unsupervised and privacy-preserving popularity prediction framework for MEC-enabled IIoT.
no code implementations • 2 Apr 2021 • Chong Zheng, Shengheng Liu, Yongming Huang, Luxi Yang
Virtual reality (VR) is promising to fundamentally transform a broad spectrum of industry sectors and the way humans interact with virtual content.
no code implementations • 29 Mar 2021 • Xiangyu Zhang, Zhengming Zhang, Luxi Yang
We model the HUDNs as a heterogeneous graph and train a Graph Neural Network (GNN) to approach this representation function by using semi-supervised learning, in which the loss function is composed of the unsupervised part that helps the GNN approach the optimal representation function and the supervised part that utilizes the previous experience to reduce useless exploration.
2 code implementations • 20 Nov 2020 • Zhouyong Liu, Shun Luo, Wubin Li, Jingben Lu, Yufan Wu, Shilei Sun, ChunGuo Li, Luxi Yang
To the best of our knowledge, this is the first time that ConvTransformer architecture is proposed and applied to video frame synthesis.