Rethinking Autocorrelation for Deep Spectrum Sensing in Cognitive Radio Networks-Reference-Cited by-同舟云学术

Rethinking Autocorrelation for Deep Spectrum Sensing in Cognitive Radio Networks

Author:

Chae Keunhong¹^ORCID,Park Jungin²,Kim Yusung³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea

2. Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Republic of Korea

3. College of Computing and Informatics, Sungkyunkwan University, Suwon, Republic of Korea

Funder

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant

Korea Government (MSIT) through the Development of Incumbent Radio Stations Protection and Frequency Sharing Technology through Spectrum Challenge

Development of 5G Edge Security Technology for Ensuring 5G+ Service Stability and Availability

Self-Directed Multi-Modal Intelligence for Solving Unknown, Open Domain Problems

Artificial Intelligence Graduate School Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference45 articles.

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