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Transfer Learning for Tilt-Dependent Radio Map Prediction

  • Published:2020-06 Issue:2 Volume:6 Page:829-843
  • ISSN:2332-7731
  • Container-title:IEEE Transactions on Cognitive Communications and Networking
  • language:
  • Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Parera ClaudiaORCID,Liao QiORCID,Malanchini IlariaORCID,Tatino CristianORCID,Redondi Alessandro E. C.ORCID,Cesana MatteoORCID

Funder

European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map;IEEE Transactions on Wireless Communications;2024-08

2. A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G;IEEE Communications Surveys & Tutorials;2024

3. Radio Map Estimation in the Real-World: Empirical Validation and Analysis;2023 IEEE Conference on Antenna Measurements and Applications (CAMA);2023-11-15

4. RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network;IEEE Internet of Things Journal;2023-10-15

5. Domain Adaptation for Network Performance Modeling with and without Labeled Data;NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium;2023-05-08
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