Proactive Millimeter-Wave Link Quality Prediction Utilizing Out-of-Band CSI Fingerprinting and Supervised Learning: An Experimental Study
Author:
Affiliation:
1. School of Engineering, Tokyo Institute of Technology,Meguro, Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10454139/10454627/10454787.pdf?arnumber=10454787
Reference18 articles.
1. The Role of Millimeter-Wave Technologies in 5G/6G Wireless Communications
2. Influence of the Human Activity on Wide-Band Characteristics of the 60 GHz Indoor Radio Channel
3. Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks
4. Point Cloud-Based Proactive Link Quality Prediction for Millimeter-Wave Communications
5. Millimeter-wave Received Power Prediction Using Point Cloud Data and Supervised Learning
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