Power Allocation Strategies for Secure Spatial Modulation

Xia, Guiyang; Jia, Linqiong; Qian, Yuwen; Shu, Feng; Zhuang, Zhihong; Wang, Jiangzhou

doi:10.1109/jsyst.2019.2918168

Cited by 16 publications

(9 citation statements)

References 15 publications

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“…As the total power is constrained, elaborately splitting the power allocated to the CM and allocated to the AN has a great impact on improving the SR performance. In [49] and [50], the approximation of SR based on cut-off rate was invoked to substitute the non-closed SR expression for secure SM systems. Using the approximation as the objection function, the authors in [49] proposed a gradient-based PA method which approached the optimal PA method based on ES.…”

Section: A Typical Sm Systemmentioning

confidence: 99%

“…Using the approximation as the objection function, the authors in [49] proposed a gradient-based PA method which approached the optimal PA method based on ES. In [50], a novel criterion that maximizes the ratio of Bob's SLNR and of Eve's AN-to-leakage plus noise ratio (ANLNR) was conceived which was close to the optimal PA factor and also reduced some computational complexity. To further reduce the computational complexity and approach the optimal SR performance, the authors in [51] proposed a deep-neuralnetwork (DNN)-based PA strategy whose key idea was to treat the input and output of ES algorithm as an unknown nonlinear mapping and used a DNN to approximate it.…”

Section: A Typical Sm Systemmentioning

confidence: 99%

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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: A Typical Sm Systemmentioning

confidence: 99%

Section: A Typical Sm Systemmentioning

confidence: 99%

Physical Layer Security Techniques for Future Wireless Networks

Shi¹,

Jiang²,

Hu³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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“…As how to achieve a secure transmission is becoming a hot research topic in wireless networks, physical layer security [7], [8] in MIMO systems has been widely investigated. There are several ways to improve the performance of SM including transmit antenna selection [9]- [13], linear precoding [14], [15], power allocation [16], [17] and so on. In [18], the author enhanced the legitimate security by jointly precoding optimization with and without eavesdroppong channel state information (CSI).…”

Section: Introductionmentioning

confidence: 99%

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

Shu,

Jiang,

Cai

et al. 2021

Preprint

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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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“…There are several ways to improve the performance of SM including transmit antenna selection [6]- [8], linear precoding [9], [10], power allocation [11], [12] and so on. The physical layer security of conventional SM is an urgent problem.…”

Section: Introductionmentioning

confidence: 99%

“…The problem of power allocation (PA) between confidential message and artificial noise (AN) [18], [19] was addressed in [11]. And the authors in [11], [12] have proposed two PA strategies with performance approaching that of the optimal PA factor.…”

Section: Introductionmentioning

confidence: 99%

Precoding and Transmit Antenna Subarray Selection for Secure Hybrid Spatial Modulation

Shu¹,

Liu²,

Jiang³

et al. 2020

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Spatial modulation (SM) is a particularly important form of multiple-input-multiple-output (MIMO). Unlike traditional MIMO, it uses both modulation symbols and antenna indices to carry information. In this paper, to avoid the high cost and circuit complexity of fully-digital SM, we mainly consider the hybrid SM system with a hybrid precoding transmitter architecture, combining a digital precoder and an analog precoder.Here, the partially-connected structure is adopted with each radio frequency chain (RF) being connected to a transmit antenna subarray (TAS). In such a system, we made an investigation of secure hybrid precoding and transmit antenna subarray selection (TASS) methods. Two hybrid precoding methods, called maximizing the approximate secrecy rate (SR) via gradient ascent (Max-ASR-GA) and maximizing the approximate SR via alternating direction method of multipliers (Max-ASR-ADMM), are proposed to improve the SR performance. As for TASS, a high-performance method of maximizing the approximate SR (Max-ASR) TASS method is first presented. To reduce its high complexity, two low-complexity TASS methods, namely maximizing the eigenvalue (Max-EV) and maximizing the product of signal-to-interference-plus-noise ratio and artificial noiseto-signal-plus-noise ratio (Max-P-SINR-ANSNR), are proposed. Simulation results will demonstrate that the proposed Max-ASR-GA and Max-ASR-ADMM hybrid precoders harvest substantial SR performance gains over existing method. For TASS, the proposed three methods Max-ASR, Max-EV, and Max-P-SINR-ANSNR perform better than existing leakage method. Particularly, the proposed Max-EV and Max-P-SINR-ANSNR is lowcomplexity at the expense of a little performance loss compared with Max-ASR.

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Power Allocation Strategies for Secure Spatial Modulation

Cited by 16 publications

References 15 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

Precoding and Transmit Antenna Subarray Selection for Secure Hybrid Spatial Modulation

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