A Graph Neural Network Based Radio Map Construction Method for Urban Environment
Author:
Affiliation:
1. College of Intelligence Science and Technology, Changsha, China
2. Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China
Funder
Project of Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10122472/10078269.pdf?arnumber=10078269
Reference21 articles.
1. Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
2. RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks
3. Wireless Communications
4. Scalable two-hop relaying for mmWave networks
5. Spectrum Occupancy Measurements: A Survey and Use of Interference Maps
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1. UAV-Assisted Active Sparse Crowdsensing for Ground Signal Map Construction Based on 3-D Spatial–Temporal Correlation;IEEE Internet of Things Journal;2024-08-15
2. Reconstruction of Radio Environment Map Based on Multi-Source Domain Adaptive of Graph Neural Network for Regression;Sensors;2024-04-15
3. Spectrum Map Construction Method Based on Dynamic Window Size Tensor Ring Low-rank Factors;Radioengineering;2024-04
4. Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage;IEEE Transactions on Cognitive Communications and Networking;2024
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