Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information

Yunjia XU; Kaizhi HUANG; Jun LI; Yajun CHEN

doi:10.11999/JEIT180003

Volume 40 Issue 10

Sep. 2018

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Yunjia XU, Kaizhi HUANG, Jun LI, Yajun CHEN. Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003

Citation:

Yunjia XU, Kaizhi HUANG, Jun LI, Yajun CHEN. Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003

Citation:

Yunjia XU, Kaizhi HUANG, Jun LI, Yajun CHEN. Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003

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Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information

doi: 10.11999/JEIT180003

1.
National Digital Switching System Engineering & Technological Research Center, Zhengzhou 450002, China
2.
Zhongxing Telecommunication Equipment Corporation, Shanghai 200000, China

Funds: The National Natural Science Foundation of China (61379006, 61401510, 61521003)

Received Date: 2018-01-02
Rev Recd Date: 2018-05-23

Available Online: 2018-07-30

Publish Date: 2018-10-01

Abstract

Abstract

To ensure secure transmission in dense heterogeneous cellular networks with imperfect Channel State Information (CSI), the influence of Artificial Noise (AN) on secure and reliable communication is analyzed, and a power split factor optimization model is presented to obtain the optimal value under different channel estimation accuracy. First, the connection outage probability and secrecy outage probability are deduced by considering the influence of channel estimation error on signal transmission and AN leakage. Then, a power split factor optimization model is presented, which maximizes the secrecy throughput subject to the security and reliability requirements. A K-dimensional search method is employed to solve the optimal power split factor of each tier. Finally, the numerical results verify that the AN transmission scheme with optimal power split factor can increase secrecy throughput by about 15%.
- Dense heterogeneous cellular networks,
- Physical layer security,
- Channel estimation error,
- Artificial Noise (AN)

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References(15)

References

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