Collaborative Spectrum Sensing Algorithm Based on Exponential Entropy in Cognitive Radio Networks
Traditional detectors for spectrum sensing in cognitive radio networks always become disabled when noise uncertainty is severe. Shannon entropy-based detection methods have aroused widespread attention in recent years due to the characteristics of effective anti-noise uncertainty. However, in existi...
Main Authors: | Fang Ye, Xun Zhang, Yibing Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-10-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-8994/8/11/112 |
Similar Items
-
Rényi Entropy-Based Spectrum Sensing in Mobile Cognitive Radio Networks Using Software Defined Radio
by: Ernesto Cadena Muñoz, et al.
Published: (2020-06-01) -
Faithworthy Collaborative Spectrum Sensing Based on Credibility and Evidence Theory for Cognitive Radio Networks
by: Fang Ye, et al.
Published: (2017-03-01) -
Spectrum Sensing in Cognitive Radio Networks
by: Bokharaiee Najafee, Simin
Published: (2014) -
Full-Duplex Cooperative Sensing for Spectrum-Heterogeneous Cognitive Radio Networks
by: Peng Liu, et al.
Published: (2017-08-01) -
Soft Decision Cooperative Spectrum Sensing With Entropy Weight Method for Cognitive Radio Sensor Networks
by: Haifeng Lin, et al.
Published: (2020-01-01)