Precoding and Transmit Antenna Subarray Selection for Secure Hybrid Spatial Modulation

Shu, Feng; Jiang, Xinyi; Liu, Xiaoyu; Xu, Ling; Xia, Guiyang; Wang, Jiangzhou

doi:10.1109/twc.2020.3037217

Cited by 17 publications

(12 citation statements)

References 45 publications

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“…In [54], the authors proposed a semi-definite relaxation based alternating minimization (SDR-AltMin) algorithm to jointly design the digital and analog precoders. In [55], the authors generalized SDR-AltMin algorithm to the hybrid SSM system, and proposed two precoders which maximized approximate SR (ASR) based on gradient method and alternating direction method of multipliers respectively. Figure . 7 shows that the proposed two methods in [55] harvested higher SR performance than the generalized SDR-AltMin method.…”

Section: B Hybrid Sm Systemmentioning

confidence: 99%

“…In [55], the authors generalized SDR-AltMin algorithm to the hybrid SSM system, and proposed two precoders which maximized approximate SR (ASR) based on gradient method and alternating direction method of multipliers respectively. Figure . 7 shows that the proposed two methods in [55] harvested higher SR performance than the generalized SDR-AltMin method. For hybrid generalized SSM systems, the authors in [56] proposed a novel algorithm to separately optimize the analog precoder and the digital precoder to maximize SR. As the objective function is non-concave, the authors conceived a pair of concave objective functions to optimize the analog precoder and digital precoder.…”

Section: B Hybrid Sm Systemmentioning

confidence: 99%

“…As the number of RF chains is not a power of two, there exists the transmit antenna subarrays selection problem. The authors in [55] proposed two low-complexity transmit antenna subarray selection (TASS) methods, named maximizing eigenvalue (Max-EV) and maximizing product of signal-to- interference-plus-noise ratio and artificial noise-to-signal-plusnoise ratio (Max-P-SINR-ANSNR), which performed better than the generalized Max-SLNR method.…”

Section: B Hybrid Sm Systemmentioning

confidence: 99%

See 2 more Smart Citations

Physical Layer Security Techniques for Future Wireless Networks

Shi¹,

Jiang²,

Hu³

et al. 2021

Preprint

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The broadcast nature of wireless communication systems makes wireless transmission extremely susceptible to eavesdropping and even malicious interference. Physical layer security technology can effectively protect the private information sent by the transmitter from being listened to by illegal eavesdroppers, thus ensuring the privacy and security of communication between the transmitter and legitimate users. The development of mobile communication presents new challenges to physical layer security research. This paper provides a comprehensive survey of the physical layer security research on various promising mobile technologies, including directional modulation (DM), spatial modulation (SM), covert communication, intelligent reflecting surface (IRS)-aided communication, and so on. Finally, future trends and the unresolved technical challenges are summarized in physical layer security for mobile communications.

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Section: B Hybrid Sm Systemmentioning

confidence: 99%

Section: B Hybrid Sm Systemmentioning

confidence: 99%

Section: B Hybrid Sm Systemmentioning

confidence: 99%

See 1 more Smart Citation

Physical Layer Security Techniques for Future Wireless Networks

Shi¹,

Jiang²,

Hu³

et al. 2021

Preprint

Self Cite

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show abstract

“…In [21], [22], security was enhanced by emitting the artificial noise (AN) onto the null-space of the desired channel and the latter derived the closed-form approximated expression of ergodic secrecy rate (ESR) in perfect and imperfect CSI, respectively. In [23], the authors proposed three precoding methods and five transmit antenna subarray selection methods to improve the security performance under the hybrid SM systems. Additionally, the authors in [24] considered the malicious attacks from the eavesdropper and proposed several effective beamforming methods to eliminate the interference from eavesdropper.…”

Section: Introductionmentioning

confidence: 99%

Beamforming and Transmit Power Design for Intelligent Reconfigurable Surface-aided Secure Spatial Modulation

Shu,

Jiang,

Cai

et al. 2021

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Intelligent reflecting surface (IRS) is a promising solution to build a programmable wireless environment for future communication systems, in which the reflector elements steer the incident signal in fully customizable ways by passive beamforming. In this paper, an IRS-aided secure spatial modulation (SM) is proposed, where the IRS perform passive beamforming and information transfer simultaneously by adjusting the on-off states of the reflecting elements. We formulate an optimization problem to maximize the average secrecy rate (SR) by jointly optimizing the passive beamforming at IRS and the transmit power at transmitter under the consideration that the direct pathes channels from transmitter to receivers are obstructed by obstacles. As the expression of SR is complex, we derive a newly fitting expression (NASR) for the expression of traditional approximate SR (TASR), which has simpler closed-form and more convenient for subsequent optimization. Based on the above two fitting expressions, three beamforming methods, called maximizing NASR via successive convex approximation (Max-NASR-SCA), maximizing NASR via dual ascent (Max-NASR-DA) and maximizing TASR via semi-definite relaxation (Max-TASR-SDR) are proposed to improve the SR performance. Additionally, two transmit power design (TPD) methods are proposed based on the above two approximate SR expressions, called Max-NASR-TPD and Max-TASR-TPD. Simulation results show that the proposed Max-NASR-DA and Max-NASR-SCA IRS beamformers harvest substantial SR performance gains over Max-TASR-SDR. For TPD, the proposed Max-NASR-TPD performs better than Max-TASR-TPD. Particularly, the Max-NASR-TPD has a closed-form solution.

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“…In [6], authors proposed a linear precoding method against wiretap channels to improve the secrecy rate by utilizing the important relationship between MIMO mutual information and the received minimum mean square error (MSE). To reduce the information that eavesdroppers can obtain, artificial noise (AN) was introduced in [7], [8] to interfere with eavesdroppers by projecting it onto the null-space of the desired channel. The authors investigated transmit antenna selection (TAS) schemes in [9] to enhance the secrecy rate performance of the SM system.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Covariance Matrix of Interference for Secure Spatial Modulation against a Malicious Full-duplex Attacker

Yang¹,

Jiang²,

Feng³

et al. 2021

Preprint

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In a secure spatial modulation with a malicious fullduplex attacker, how to obtain the interference space or channel state information (CSI) is very important for Bob to cancel or reduce the interference from Mallory. In this paper, different from existing work with a perfect CSI, the covariance matrix of malicious interference (CMMI) from Mallory is estimated and is used to construct the null-space of interference (NSI). Finally, the receive beamformer at Bob is designed to remove the malicious interference using the NSI. To improve the estimation accuracy, a rank detector relying on Akaike information criterion (AIC) is derived. To achieve a high-precision CMMI estimation, two methods are proposed as follows: principal component analysiseigenvalue decomposition (PCA-EVD), and joint diagonalization (JD). The proposed PCA-EVD is a rank deduction method whereas the JD method is a joint optimization method with improved performance in low signal to interference plus noise ratio (SINR) region at the expense of increased complexities. Simulation results show that the proposed PCA-EVD performs much better than the existing method like sample estimated covariance matrix (SCM) and EVD in terms of normalized mean square error (NMSE) and secrecy rate (SR). Additionally, the proposed JD method has an excellent NMSE performance better than PCA-EVD in the low SINR region (SINR≤0dB) while in the high SINR region PCA-EVD performs better than JD.

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Precoding and Transmit Antenna Subarray Selection for Secure Hybrid Spatial Modulation

Cited by 17 publications

References 45 publications

Physical Layer Security Techniques for Future Wireless Networks

Physical Layer Security Techniques for Future Wireless Networks

Beamforming and Transmit Power Design for Intelligent Reconfigurable Surface-aided Secure Spatial Modulation

Estimation of Covariance Matrix of Interference for Secure Spatial Modulation against a Malicious Full-duplex Attacker

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