scholarly journals Secure transmission in the random cognitive radio networks with secrecy guard zone and artificial noise

2016 ◽  
Vol 10 (15) ◽  
pp. 1904-1913 ◽  
Author(s):  
Yueming Cai ◽  
Xiaoming Xu ◽  
Weiwei Yang
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Artificial Noise ◽  
Secure Transmission ◽  
Guard Zone

scholarly journals AN-Aided Transmit Beamforming Design for Secured Cognitive Radio Networks with SWIPT

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Weili Ge ◽  
Zhengyu Zhu ◽  
Zhongyong Wang ◽  
Zhengdao Yuan
Keyword(s):  
Cognitive Radio ◽  
Iterative Algorithm ◽  
Cognitive Radio Networks ◽  
Optimization Design ◽  
Original Problem ◽  
Radio Networks ◽  
Artificial Noise ◽  
Transmit Beamforming ◽  
Transmit Power ◽  
Single Antenna

We investigate multiple-input single-output secured cognitive radio networks relying on simultaneous wireless information and power transfer (SWIPT), where a multiantenna secondary transmitter sends confidential information to multiple single-antenna secondary users (SUs) in the presence of multiple single-antenna primary users (PUs) and multiple energy-harvesting receivers (ERs). In order to improve the security of secondary networks, we use the artificial noise (AN) to mask the transmit beamforming. Optimization design of AN-aided transmit beamforming is studied, where the transmit power of the information signal is minimized subject to the secrecy rate constraint, the harvested energy constraint, and the total transmit power. Based on a successive convex approximation (SCA) method, we propose an iterative algorithm which reformulates the original problem as a convex problem under the perfect channel state information (CSI) case. Also, we give the convergence of the SCA-based iterative algorithm. In addition, we extend the original problem to the imperfect CSI case with deterministic channel uncertainties. Then, we study the robust design problem for the case with norm-bounded channel errors. Also, a robust SCA-based iterative algorithm is proposed by adopting the S-Procedure. Simulation results are presented to validate the performance of the proposed algorithms.

Artificial-Noise-Aided Energy-Efficient Secure Beamforming for Multi-Eavesdroppers in Cognitive Radio Networks

2020 ◽  
Vol 14 (3) ◽  
pp. 3801-3812
Author(s):  
Pu Chen ◽  
Jian Ouyang ◽  
Wei-Ping Zhu ◽  
Min Lin ◽  
Ahmed El Shafie ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Energy Efficient ◽  
Radio Networks ◽  
Artificial Noise
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