HORCRUX: Accurate Cross Band Channel Prediction

Author:

Banerjee Avishek1ORCID,Zhao Xingya2ORCID,Chhabra Vishnu1ORCID,Srinivasan Kannan2ORCID,Parthasarathy Srinivasan1ORCID

Affiliation:

1. The Ohio State University, Columbus, USA

2. The Ohio State University, Columbus, United States of America

Funder

National Science Foundation (NSF)

Publisher

ACM

Reference69 articles.

1. WARP Project. http://warpproject.org.

2. Adesina, D., Hsieh, C.-C., Sagduyu, Y. E., and Qian, L. Adversarial machine learning in wireless communications using rf data: A review. IEEE Communications Surveys & Tutorials (2022).

3. Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and Issues

4. Akhil, K., and Sinha, S. Self-localization in large scale wireless sensor network using machine learning. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (2020), IEEE, pp. 1--5.

5. Alamouti, S., Casas, E. F., Hirano, M., Hoole, E., Jesse, M., Michelson, D. G., Poon, P., Veintimilla, G. J., and Zhang, H. Method for frequency division duplex communications, Aug. 3 1999. US Patent 5,933,421.

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