Distributionally Robust Optimization for Secure Transmission With Assisting Jammer in MISO Downlink Networks

Liu, Xiaochen; Wang, Lei; Sha, Nan; Wang, Shijie

doi:10.1109/lcomm.2018.2886025

“…By jointly optimizing the transmit beamforming vector and the covariance matrix of jamming signals under individual power constraints, they proposed an algorithm for each problem through semidefinite relaxation (SDR). In [29], the authors aimed to minimize the total transmit power by jointly designing the beamforming vector at the transmitter and AN covariance at jammer under the reliability and secrecy constraints for all the possible distributions of CSI errors. Su et al in [30] proposed a novel robust beamforming strategy for the direct transmission NOMA and cooperative jamming NOMA to minimize the worst-case sum power subject to secrecy rate constraint.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks

Wang

¹

,

Zhou

²

,

Hu

³

et al. 2021

IEEE Trans. Wireless Commun.

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Energy-efficient design and secure communications are of crucial importance in wireless communication networks. However, the energy efficiency achieved by using physical layer security can be limited by the channel conditions. In order to tackle this problem, an intelligent reflecting surface (IRS) assisted multiple input single output (MISO) network with independent cooperative jamming is studied. The energy efficiency is maximized by jointly designing the transmit and jamming beamforming and IRS phase-shift matrix under both the perfect channel state information (CSI) and the imperfect CSI. In order to tackle the challenging non-convex fractional problems, an algorithm based on semidefinite programming (SDP) relaxation is proposed for solving energy efficiency maximization problem under the perfect CSI case while an alternate optimization algorithm based on S-procedure is used for solving the problem under the imperfect CSI case. Simulation results demonstrate that the proposed design outperforms the benchmark schemes in term of energy efficiency. Moreover, the tradeoff between energy efficiency and the secrecy rate is found in the IRS-assisted MISO network. Furthermore, it is shown that IRS can help improve energy efficiency even with the uncertainty of the CSI.

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“…• Distributionally robust transmit scheme based on Lagrangian duality theory with assisting jamming (LD-AJ) [34]. For the robust transmit power minimization Q P , we examine the performance of CVaR based method (CVaR) and BTiE based method (BTiE), respectively.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…• Thirdly, leveraging the Lagrangian duality theory, a distributionally robust transmit scheme was proposed for the full-duplex bidirectional secure communication in [27]. Reference [34] extended this work by employing the assisting jamming. However, the Lagrangian duality theory based method becomes ultra-conservative when the statistical characteristics of CSI errors are accurate, which leads to extra power consumption.…”

Section: B Related Work and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

Distributionally Robust Secure Transmission for MISO Downlink Networks With Assisting Jammer

Liu

¹

,

Gao

²

,

Zang

³

et al. 2019

IEEE Access

Self Cite

1

0

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In this paper, we propose the distributionally robust secure transmit schemes in multi-input single-output (MISO) downlink wireless networks which consist of a transmitter, a desired receiver, multiple eavesdroppers and an assisting jammer. The imperfect channel state information (CSI) is considered and the CSI errors are only captured by the mean and covariance. We first study the transmit power minimization by jointly designing the beamforming vector at transmitter and artificial noise(AN) covariance at jammer, while the lower bound of connection probability at desired receiver and lower bound of outage probability at eavesdroppers are guaranteed simultaneously. Since the chance-constrained problem is non-convex, we derive two safe convex approximations by exploiting the Conditional Value-at-risk (CVaR) based method and Bernstein-type inequality (BTiE) based method, respectively. Specifically, we extend the application of BTiE originally proposed with the Gaussianity assumption to other possible distributions which satisfy the proposed sufficient condition. Furthermore, the secrecy rate maximization is exploited under the constraint of total transmit power. The original problem is non-convex and fractional, hence we design the Bilevel Quick Search (BQS) method to make it tractable. Finally, the simulation results verify the effectiveness and the robustness of the proposed transmit schemes.

show abstract

Energy-Efficient Beamforming and Cooperative Jamming in IRS-Assisted MISO Networks

Wang

¹

,

Zhou

²

,

Hu

³

et al. 2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Energy-efficient design and secure communications are of crucial importance in wireless communication networks. However, the energy efficiency achieved by using physical layer security can be limited by the channel conditions. In order to tackle this problem, an intelligent reflecting surface (IRS) assisted multiple input single output (MISO) network with independent cooperative jamming is studied. The energy efficiency is maximized by jointly designing the transmit and jamming beamforming and IRS phase-shift matrix under both the perfect channel state information (CSI) and the imperfect CSI. In order to tackle the challenging non-convex fractional problems, an algorithm based on semidefinite programming (SDP) relaxation is proposed for solving energy efficiency maximization problem under the perfect CSI case while an alternate optimization algorithm based on S-procedure is used for solving the problem under the imperfect CSI case. Simulation results demonstrate that the proposed design outperforms the benchmark schemes in term of energy efficiency. Moreover, the tradeoff between energy efficiency and the secrecy rate is found in the IRS-assisted MISO network. Furthermore, it is shown that IRS can help improve energy efficiency even with the uncertainty of the CSI.

show abstract

Distributionally Robust Optimization for Secure Transmission With Assisting Jammer in MISO Downlink Networks

Cited by 5 publications

References 12 publications

Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks

Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks

Distributionally Robust Secure Transmission for MISO Downlink Networks With Assisting Jammer

Energy-Efficient Beamforming and Cooperative Jamming in IRS-Assisted MISO Networks

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