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Found 8 papers, 0 papers with code
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
This work proposes a Transformer-based STVSA method to address this challenge.
Channel Autocorrelation Estimation for IRS-Aided Wireless Communications Based on Power Measurements
Intelligent reflecting surface (IRS) can bring significant performance enhancement for wireless communication systems by reconfiguring wireless channels via passive signal reflection.
Hyperspectral Image Fusion via Logarithmic Low-rank Tensor Ring Decomposition
On the other hand, the tensor nuclear norm (TNN)-based approaches have recently demonstrated to be more efficient on keeping high-dimensional low-rank structures in tensor recovery.
3-D Positioning and Resource Allocation for Multi-UAV Base Stations Under Blockage-Aware Channel Model
Based on the proposed channel model, we formulate the joint optimization problem of UAV three-dimensional (3-D) positioning and resource allocation, by power allocation, user association, and subcarrier allocation, to maximize the minimum achievable rate among users.
Joint 3-D Positioning and Power Allocation for UAV Relay Aided by Geographic Information
To improve communication capacity, we first model the blockage effect caused by buildings according to the three-dimensional (3-D) geographic information.
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
The utilization of the millimeter-wave (mmWave) frequency bands is a promising direction for UAV communications, where large antenna arrays can be packed in a small area on the UAV to perform three-dimensional (3D) beamforming.
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network
The proposed STGCN utilizes graph convolution to integrate network topology information into the learning model to exploit spatial information.
Cost-Effective Bad Synchrophasor Data Detection Based on Unsupervised Time Series Data Analytics
Afterwards, TS subsequences contaminated with bad PMU data are identified by characterizing anomalous STNNs.
