Spectrum Utilization Improvement for Multi-Channel Cognitive Radio Networks with Energy Harvesting

2021 ◽  
Author(s):  
Wendi Sun ◽  
Xiaoying Liu ◽  
Kechen Zheng ◽  
Yang Xu ◽  
Jia Liu
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Spectrum Utilization

scholarly journals Optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Haiyan Ye ◽  
Jiabao Jiang
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Spectrum Utilization ◽  
Channel Characteristics ◽  
Optimal Linear ◽  
Static Division ◽  
Cooperative Nodes

AbstractThe lack of spectrum resources restricts the development of wireless communication applications. In order to solve the problems of low spectrum utilization and channel congestion caused by the static division of spectrum resource, this paper proposes an optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks. In this scheme, different weight values will be assigned for cooperative nodes according to the SNR of cognitive users and the historical sensing accuracy. In addition, the cognitive users can be clustered, and the users with the better channel characteristics will be selected as cluster heads for gathering the local sensing information. Simulation results show that the proposed scheme can obtain better sensing performance, improve the detection probability and reduce the error probability.

Sign in / Sign up

Export Citation Format

Share Document