Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels
Abstract
:1. Introduction
- Based on the location information of the legitimate user and the eavesdropper, the signal to interference plus noise ratio (SINR) expressions have been derived for both the user and the eavesdropper, and the impact of AN has been considered. Close approximations of the probability density functions (PDFs) of SINRs have been proposed for Rician channels.
- The expectations of SINRs have been derived in closed-form expressions. Moreover, the bit error rate (BER) expressions are derived using Gaussian-Laguerre (GL) approximation.
- A quality of service (QoS)-based beamforming scheme is proposed to minimize the SINR of the eavesdropper and ensure the minimum SINR requirement of the legitimate user. Simulation results show that, when eight antennas are used at the base station, the block error rate (BLER) of eavesdroppers located 5° away from the legitimate user reaches 1.
2. System Model
3. Performance Analysis
3.1. Distribution of the SINR
3.2. Expectation of SINR
3.3. BER Analysis
4. Optimal Location-Based Beamforming
Algorithm 1 Algorithm to Determine , , for Location-based Beamforming |
Require: , Ensure: , , 1: for with step size do 2: calculate and using (36). 3: while with step size do 4: calculate using (29) 5: if then 6: 7: calculate using (29) and the parameters of Eve 8: 9: break 10: end if 11: end while 12: end for 13: Choose , that achieve the minimum , takes the value of the corresponding . |
5. Simulation Results
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Fu, H.; Zhang, X.; Peng, L. Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels. Entropy 2023, 25, 1626. https://doi.org/10.3390/e25121626
Fu H, Zhang X, Peng L. Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels. Entropy. 2023; 25(12):1626. https://doi.org/10.3390/e25121626
Chicago/Turabian StyleFu, Hua, Xiaoyu Zhang, and Linning Peng. 2023. "Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels" Entropy 25, no. 12: 1626. https://doi.org/10.3390/e25121626
APA StyleFu, H., Zhang, X., & Peng, L. (2023). Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels. Entropy, 25(12), 1626. https://doi.org/10.3390/e25121626