A Robust Secure Transmission Scheme Based onArtificial Noise for Resisting Active Eavesdropper in MIMO Heterogeneous Networks

Bo ZHANG; Kaizhi HUANG; Shengbin LIN; Ming YI; Yajun CHEN

doi:10.11999/5EIT190649

Volume 42 Issue 9

Sep. 2020

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(9): 2186-2193

Bo ZHANG, Kaizhi HUANG, Shengbin LIN, Ming YI, Yajun CHEN. A Robust Secure Transmission Scheme Based onArtificial Noise for Resisting Active Eavesdropper in MIMO Heterogeneous Networks[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2186-2193. doi: 10.11999/5EIT190649

Citation:

Bo ZHANG, Kaizhi HUANG, Shengbin LIN, Ming YI, Yajun CHEN. A Robust Secure Transmission Scheme Based onArtificial Noise for Resisting Active Eavesdropper in MIMO Heterogeneous Networks[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2186-2193. doi: 10.11999/5EIT190649

Citation:

Bo ZHANG, Kaizhi HUANG, Shengbin LIN, Ming YI, Yajun CHEN. A Robust Secure Transmission Scheme Based onArtificial Noise for Resisting Active Eavesdropper in MIMO Heterogeneous Networks[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2186-2193. doi: 10.11999/5EIT190649

PDF( 755 KB)

A Robust Secure Transmission Scheme Based onArtificial Noise for Resisting Active Eavesdropper in MIMO Heterogeneous Networks

doi: 10.11999/5EIT190649

1.
Information Engineering University, Zhengzhou 450001, China
2.
Communication Sergeant School, Army Engineering University, Chongqing 400035, China

Funds: The National Natural Science Foundation of China (61871404, 61701538)

Received Date: 2019-08-28
Rev Recd Date: 2020-06-08

Available Online: 2020-07-13

Publish Date: 2020-09-27

Abstract

Abstract

To ensure the security of MIMO heterogeneous networks while facing the active multi-antenna eavesdropping, a robust secure transmission scheme based on artificial noise is proposed. Firstly, considering that the eavesdropper sends uplink pilot interference signal, the influence of uplink pilot interference on the channel estimation of legitimate users is studied. Then, based on the channel estimation results, the precoding matrix of downlink data and noise signals of macro base station and micro base station are designed, respectively. The expression of system security rate in this case is derived; After that, for maximizing the system security rate, the transmission power of downlink data and noise signal of base station are optimized, and a solution method based on one-dimensional linear search is proposed. Furthermore, considering the situation that the eavesdropper sends the uplink pilot interference and then sends the noise to interfere with the downlink communication of the legitimate user, a discrete zero-sum game method is proposed to obtain the optimal transmission power design. The simulation results verify the security and robustness of the proposed scheme.
- Heterogeneous network,
- Multiple Input Multiple Output (MIMO),
- Physical layer security,
- Active eavesdropping

FullText(HTML)

References(13)

References

TANG Weijun, FENG Suili, DING Yuehua, et al. Physical layer security in heterogeneous networks with jammer selection and full-duplex users[J]. IEEE Transactions on Wireless Communications, 2017, 16(12): 7982–7995. doi: 10.1109/TWC.2017.2755640

彭建华, 张帅, 许晓明, 等. 物联网中一种抗大规模天线阵列窃听者的噪声注入方案[J]. 电子与信息学报, 2019, 41(1): 67–73. doi: 10.11999/JEIT180342

PENG Jianhua, ZHANG Shuai, XU Xiaoming, et al. A noise injection scheme resistant to massive MIMO eavesdropper in IoT[J]. Journal of Electronics &Information Technology, 2019, 41(1): 67–73. doi: 10.11999/JEIT180342

洪涛, 张更新. 人工噪声辅助的物理层安全信号峰均功率比减低算法[J]. 电子与信息学报, 2018, 40(6): 1426–1432. doi: 10.11999/JEIT170739

HONG Tao and ZHANG Gengxin. Peak-to-average power ratio reduction algorithm of artificial-noise-aided secure signal[J]. Journal of Electronics &Information Technology, 2018, 40(6): 1426–1432. doi: 10.11999/JEIT170739

WANG Huiming, ZHENG Tongxing, YUAN Jinhong, et al. Physical layer security in heterogeneous cellular networks[J]. IEEE Transactions on Communications, 2016, 64(3): 1204–1219. doi: 10.1109/TCOMM.2016.2519402

XU Min, TAO Xiaofeng, FAN Yang, et al. Enhancing secured coverage with CoMP transmission in heterogeneous cellular networks[J]. IEEE Communications Letters, 2016, 20(11): 2272–2275. doi: 10.1109/LCOMM.2016.2598536

NGUYEN N P, KUNDU C, NGO H Q, et al. Secure full-duplex small-cell networks in a spectrum sharing environment[J]. IEEE Access, 2016, 4: 3087–3099. doi: 10.1109/ACCESS.2016.2582486

DI RENZO M and GUAN Peng. Stochastic geometry modeling and system-level analysis of uplink heterogeneous cellular networks with multi-antenna base stations[J]. IEEE Transactions on Communications, 2016, 64(6): 2453–2476. doi: 10.1109/TCOMM.2016.2552163

REN Yuan, LÜ Tiejun, GAO Hui, et al. Secure wireless information and power transfer in heterogeneous networks[J]. IEEE Access, 2017, 5: 4967–4979. doi: 10.1109/ACCESS.2017.2682277

LI Bin, FEI Zesong, CHU Zheng, et al. Secure transmission for heterogeneous cellular networks with wireless information and power transfer[J]. IEEE Systems Journal, 2018, 12(4): 3755–3766. doi: 10.1109/JSYST.2017.2713881

HU Xin, LI Bin, HUANG Kaizhi, et al. Secrecy energy efficiency in wireless powered heterogeneous networks: A distributed ADMM approach[J]. IEEE Access, 2018, 6: 20609–20624. doi: 10.1109/ACCESS.2018.2825387

HU Die, ZHANG Wei, HE Lianghua, et al. Secure transmission in multi-cell multi-user massive MIMO systems with an active eavesdropper[J]. IEEE Wireless Communications Letters, 2019, 8(1): 85–88. doi: 10.1109/LWC.2018.2859329

ALAGELI M, IKHLEF A, and CHAMBERS J. SWIPT massive MIMO systems with active eavesdropping[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(1): 233–247. doi: 10.1109/JSAC.2018.2872370

BASAR T and OLSDER G J. Dynamic Noncooperative Game Theory[M]. 2nd ed. New York: Academic Press, 1995: 23–28.

Relative Articles

Supplements(0)

Cited By

Proportional views