Antenna Selection Method of Maximizing Secrecy Rate for Green Secure Spatial Modulation

Xia, Guiyang; Shu, Feng; Zhang, Yijin; Wang, Jianxin; Brink, Stephan ten; Speidel, Joachim

doi:10.1109/tgcn.2019.2898442

Cited by 48 publications

(26 citation statements)

References 41 publications

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“…Once the AAG has been determined, the corresponding Q is optimized by (38). According to [25], the ASR in terms of the AAG is…”

Section: Separate Optimization Of Aag By Sa and Of The Ancm By Maxmentioning

confidence: 99%

“…When the number of TAs is not a power of two, selecting an active antenna group (AAG) can be adopted to further improve the security of SM systems [24] [25]. Although the AAG selection based on the minimum Euclidean distance criterion and minimizing the bit-error-rate (BER) has drawn considerable attention in conventional SM systems [26]- [29], none of these preceding contributions have considered the presence of eavesdroppers.…”

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confidence: 99%

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Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

Xia

Lin

Liu

et al. 2020

IEEE Trans. Wireless Commun.

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The security of spatial modulation (SM) aided networks can always be improved by reducing the desired link's power at the cost of degrading its bit error ratio performance and assuming the power consumed to artificial noise (AN) projection (ANP). We formulate the joint optimization problem of maximizing the secrecy rate (Max-SR) over the transmit antenna selection and ANP in the context of secure SM-aided networks, which is mathematically a non-linear mixed integer programming problem. In order to solve this problem, we provide a pair of solutions, namely joint and separate solutions. Specifically, an accurate approximation of the SR is used for reducing the computational complexity, and the optimal AN covariance matrix (ANCM) is found by convex optimization for any given active antenna group (AAG). Then, given a large set of AAGs, simulated annealing mechanism is invoked for optimizing the choice of AAG, where the corresponding ANCM is recomputed by this optimization method as well when the AAG changes. To further reduce the complexity of the above-mentioned joint optimization, a low-complexity two-stage separate optimization method is also proposed. Furthermore, when the number of transmit antennas tends to infinity, the Max-SR problem becomes equivalent to that of maximizing the ratio of the desired user's signal-tointerference-plus-noise ratio to the eavesdropper's. Thus our original problem reduces to a fractional programming problem, hence a significant computational complexity reduction can be achieved for the optimization problem. Our simulation results show that the proposed algorithms outperform the existing leakage-based null-space projection scheme in terms of the SR performance attained, and drastically reduces the complexity at a slight SR performance reduction.

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“…Once the AAG has been determined, the corresponding Q is optimized by (38). According to [25], the ASR in terms of the AAG is…”

Section: Separate Optimization Of Aag By Sa and Of The Ancm By Maxmentioning

confidence: 99%

mentioning

confidence: 99%

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

Xia

Lin

Liu

et al. 2020

IEEE Trans. Wireless Commun.

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“…By using R E (Q) and R B (Q) as our alternatives, the original optimization problem of maximizing the SR is reduced to maximize the 3 difference between R E (Q) and R B (Q), termed as maximizing approximate SR (Max-ASR) optimization algorithm, which avoids averaging over a large number of noise samples. In particular, its effectiveness has been demonstrated in [5]. However, R E (Q) is still lack of a closed-form expression, which imposes a challenge when designing an effective method for optimizing the beamformer of AN.…”

Section: A Proposed Algorithm For Maximizing the Srmentioning

confidence: 99%

An Anti-Eavesdropping Strategy for Precoding-Aided Spatial Modulation With Rough CSI of Eve

Xia

Lin

Shu

et al. 2020

IEEE Trans. Veh. Technol.

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In this paper, an anti-eavesdropping strategy is proposed for secure precoding-aided spatial modulation networks, under the assumption that the rough channel state information of eavesdropper can be obtained at the transmitter. Traditionally, artificial noise (AN) can be always projected into the null-space of the legitimate channel, however it may lead to some security loss since this strategy dispenses with a holistic consideration for secure transmission. To reduce the computational complexity of our optimization problem, we derive a closed-form expression that is a lower bound of the approximate rate over the illegitimate channel. Then a concave maximization problem is formulated for optimizing the covariance matrix of AN. Simulation results show that our proposed scheme achieves almost the same secrecy rate (SR) performance as the method of directly maximizing the approximate SR, and harvests significant SR gains compared with the traditional null-space projection benchmark.

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“…In order to guarantee secure transmission in the high SNR region, the friendly jamming was investigated in [30]- [35]. Moreover, link adaptive techniques such as power allocation and antenna selection can be combined with the jamming schemes to further enhance the secrecy performance [36]- [38]. In order to avoid power dissipation, the authors of [39]- [45] used the legitimate channel as a secret key to encrypt the mapping rule.…”

Section: Introductionmentioning

confidence: 99%

Secure Joint Transmitter-Receiver Spatial Media-Based Modulation

Peng

Wang

2020

IEEE Access

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Joint transmitter-receiver spatial modulation (JSM) is a promising multiple-input multipleoutput communication technique that achieves transmit diversity, receive diversity, and multiplexing gain simultaneously. However, the conventional JSM scheme has security risks due to the broadcast nature of the wireless channels. In addition, the spectral efficiency of JSM is not satisfactory since the antenna elements are not fully utilized and a single modulated symbol is transmitted only. In this paper, we propose a secure joint transmitter-receiver spatial media-based modulation (JSMBM) to improve the security and spectral efficiency. Specifically, multiple radio frequency (RF) mirrors are placed close by the transmitting antennas and the transmit index bits can be mapped to the mirror activation patterns. As a result, the spectral efficiency scales linearly with the number of RF mirrors, instead of logarithmical scaling with the number of transmitting antennas. Moreover, the proposed JSMBM scheme enables the transmission of multiple modulated symbols such that the spectral efficiency is further enhanced. In order to protect the proposed JSMBM scheme against passive eavesdropping, we use friendly jamming and probabilistic shaping in a collaborative manner to improve the secrecy performance. The mechanism of probabilistic shaping is to adjust the probability of transmitting each symbol such that the favorable symbols are transmitted with higher probability. We propose a simplified iterative conjugate gradient algorithm to optimize the input probability mass function, which maximizes the secrecy rate. Simulation results validate the proposed algorithm and show that the proposed secure JSMBM scheme achieves higher secrecy rate than the benchmark schemes, especially when the eavesdropper has more receive antennas than the legitimate receiver. INDEX TERMS Jamming, physical-layer security, radio frequency mirror, secrecy rate, spatial mediabased modulation.

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Antenna Selection Method of Maximizing Secrecy Rate for Green Secure Spatial Modulation

Cited by 48 publications

References 41 publications

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

An Anti-Eavesdropping Strategy for Precoding-Aided Spatial Modulation With Rough CSI of Eve

Secure Joint Transmitter-Receiver Spatial Media-Based Modulation

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