Both Worst-Case and Chance-Constrained Robust Secure SWIPT in MISO Interference Channels

Chen, Donghua; He, Yu-Cheng; Lin, Xiaodan; Zhao, Rui

doi:10.1109/tifs.2017.2746063

Cited by 19 publications

(17 citation statements)

References 43 publications

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“…The robust transmit scheme was designed in [13], where the CSI errors were described using the deterministic model. Although the stochastic model was taken in [25], [26], [29], [30], only the Gaussian distribution of the CSI errors was involved. In this paper, we extend the existing works and design the robust transmit schemes only based on the statistical characteristics of CSI errors.…”

Section: B Related Work and Motivationmentioning

confidence: 99%

“…• Considering the imperfect CSI, we propose the distributionally robust transmit schemes with the objective to minimize the total transmit power of transmitter and jammer subject to the reliability and security constraints, i.e., lower bound of connection probability at desired receiver and lower bound of outage probability at eavesdroppers. Unlike the state-of-the-art Gaussianity assumption in [25], [26], [29], [30], only the mean and the covariance of CSI errors can be obtained. The proposed transmit schemes show robustness against the possible CSI errors in despite of the distribution.…”

Section: Contributionsmentioning

confidence: 99%

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Distributionally Robust Secure Transmission for MISO Downlink Networks With Assisting Jammer

et al. 2019

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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.

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Section: B Related Work and Motivationmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Distributionally Robust Secure Transmission for MISO Downlink Networks With Assisting Jammer

et al. 2019

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“…Without using any encryption, an emerging technique termed as physical (PHY) layer security has attracted considerable interest in recent years [6,7]. By exploiting the coding techniques as well as physical properties of wireless channels, PHY layer security has a great potential to achieve "perfect secrecy" and is identified as a significant complement to traditional cryptographic techniques [8].…”

Section: Introductionmentioning

confidence: 99%

PHY‐Aided Secure Communication via Weighted Fractional Fourier Transform

et al. 2018

Wireless Communications and Mobile Computing

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A weighted fractional Fourier transform (WFRFT) based on channel state information (CSI), aiming to safeguard the physical (PHY) layer security of wireless communication system, is proposed. With the proposed scheme, WFRFT is first applied to satellite communications such that the transmitted signal is distorted and can only be neutralized by inverse-WFRFT with the same parameter. Moreover, by exploiting the physical properties of wireless channels, the CSI matrix is transformed as a secret key. In addition, by adding phase rotation (PR) factors to each branch of the WFRFT system, a new unitary matrix with the encryption properties is constructed, and hence, the satellite communications secrecy is reliably guaranteed due to the variation in signal characteristics. Finally, the efficacy of the security enhancement is evaluated in terms of the average bit error rate (BER) and the secrecy capacity. Simulation results show that the proposed encryption method can make the detection and demodulation more difficult for the eavesdropper.

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“…Motivated by the works above, we have also investigated the resource allocation problems for multicell multiuser systems. First, by using a universal multiuser interference channel model [17], we investigated the power minimization and sum rate maximization problems under the constraints on system power budget and individual users' QoS requirements, while taking into account wireless power transfer and physical layer security. Then, upon extending the multiuser interference channel model to a multicell multiuser massive MIMO system [18], we investigated the resource allocation problems for guaranteeing individual users' QoS requirements with causal time-splitting wireless power transfer.…”

Section: Introductionmentioning

confidence: 99%

Lagrangian Dual Decomposition for Joint Resource Allocation Optimization Problem in OFDMA Downlink Networks

Jia

Chen

et al. 2018

Mathematical Problems in Engineering

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This paper proposes an efficient method for joint power and subcarrier allocation in a multicell multiuser OFDMA downlink network. The joint optimization problem is formulated with the objective of maximizing the energy efficiency subject to the constraints on the quality of service in sum transmission rates for each cell and the total transmit power for the network. Due to intercell cochannel interferences and multiple variable coupling, the problem is intractable in its original form. To relax the difficulties in coordinating cochannel interferences, we introduce the tolerable interferences constraints for interference channels. To cope with the multiple variable coupling, we decompose the joint optimization problem into two iterative processes of user scheduling and a parametric convex optimization problem, where the energy efficiency is treated as the parameter and approached by bisection search. Then, by double dual decomposition, the parametric convex problem is transformed into Lagrangian dual problems at two levels of cells and subcarriers, and a decentralized solution is obtained in closed form. Based on the reformulations, an iterative subgradient algorithm is presented for approaching the joint optimization problem with acceptable complexity. Computer simulations are conducted to validate the proposed algorithm and examine the effects of various system parameters.

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Both Worst-Case and Chance-Constrained Robust Secure SWIPT in MISO Interference Channels

Cited by 19 publications

References 43 publications

Distributionally Robust Secure Transmission for MISO Downlink Networks With Assisting Jammer

Distributionally Robust Secure Transmission for MISO Downlink Networks With Assisting Jammer

PHY‐Aided Secure Communication via Weighted Fractional Fourier Transform

Lagrangian Dual Decomposition for Joint Resource Allocation Optimization Problem in OFDMA Downlink Networks

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