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IEEE/CIC International Conference on Communications in China (ICCC)

Robust secure transmission for wireless relay networks with direct links and bounded channel uncertainties

Nanmiao Wu, Shaodan Ma

Published Jul 1, 2016• 0 citations
Publisher

Abstract

This paper investigates the problem of joint design of cooperative beamforming and artificial noise to achieve robust secure transmission in an amplify and forward (AF) relay network in the presence of multiple eavesdroppers. Specifically, the joint design is targeting to minimize the total relay transmission power while guaranteeing the quality of service at the legitimate receiver and preventing the eavesdroppers from interception. Different from prior designs, direct links between the source and the legitimate receiver/eavesdroppers are considered and no perfect channel state information is assumed. Considering bounded channel uncertainties in all links, the worst cases of the total relay transmission power, quality of service (i.e., the received signal-to-noise ratio) and security are first identified. Then an iterative algorithm is proposed to jointly design the relay beamforming and artificial noises for robust secure transmission. It is demonstrated by computer simulations that the proposed robust secure design is effective and practical when compared with the prior designs.

DOI
10.1109/iccchina.2016.7636879

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This paper investigates the problem of joint design of cooperative beamforming and artificial noise to achieve robust secure transmission in an amplify and forward (AF) relay network in the presence of multiple eavesdroppers. Specifically, the joint design is targeting to minimize the total relay transmission power while guaranteeing the quality of service at the legitimate receiver and preventing the eavesdroppers from interception. Different from prior designs, direct links between the source and the legitimate receiver/eavesdroppers are considered and no perfect channel state information is assumed. Considering bounded channel uncertainties in all links, the worst cases of the total relay transmission power, quality of service (i.e., the received signal-to-noise ratio) and security are first identified. Then an iterative algorithm is proposed to jointly design the relay beamforming and artificial noises for robust secure transmission. It is demonstrated by computer simulations that the proposed robust secure design is effective and practical when compared with the prior designs.
This letter studies the secure cooperative transmission for an amplify-and-forward (AF) relay network in the presence of multiple multi-antenna eavesdroppers. Since the perfect channel state information (CSI) of the eavesdroppers are not available, we propose a robust joint distributed beamforming and artificial noise scheme to maximize the worst-case secrecy rate of the network, under the total power constraint of all the relay nodes. With the semidefinite relaxation (SDR) technique, the design can be solved by a one-dimension search which involves a sequence of semidefinite programming (SDP). Simulation results demonstrate the validity of the proposed strategy.
In this paper, we investigate physical layer security for simultaneous wireless information and power transfer in amplify-and-forward relay networks. We propose a joint robust cooperative beamforming and artificial noise scheme for secure communication and efficient wireless energy transfer. Specifically, by treating the energy receiver as a potential eavesdropper and assuming that only imperfect channel state information can be obtained, we formulate an optimization problem to maximize the worst-case secrecy rate between the source and the legitimate information receiver under both the power constraint at the relays and the wireless power harvest constraint at the energy receiver. Since such a problem is non-convex and hard to tackle, we propose a two-level optimization approach which involves a one-dimensional search and semidefinite relaxation. Simulation results show that the proposed robust scheme achieves better worst-case secrecy rate performance than other schemes.
We consider an amplify-and-forward (AF) relay network with multiple source-destination pairs in the presence of an eavesdropper. This paper studies the robust artificial noise (AN) assisted joint transceiver optimization for secure communication with imperfect channel state information (CSI) of legitimate users and no CSI regarding the eavesdropper. The goal is to design the linear precoding matrix of the relay and the linear equalizer of each destination, such that the transmit power for the information-bearing signals and forwarded background noises at the relay can be minimized subject to the quality of service (QoS) constraints at the destinations. The remainder of the constrained total power is used to generate the AN for jamming the eavesdropper. Although such a power minimization problem is nonconvex, we recast it into two semidefinite programming (SDP) subproblems which can be solved using interior-point methods. Then this problem can be solved with the alternating iterative optimization algorithm. Simulations demonstrate that the proposed algorithm can significantly reduce the sensitivity to imperfect CSI, while degrading the eavesdropper's capability of intercepting.
In this paper, we investigate a security transmission scheme at the physical layer for cooperative wireless relay networks in the presence of a passive eavesdropper.While the security scheme has been previously investigated with perfect channel state information(CSI) in the presence of a passive eavesdropper, this paper focuses on researching the robust cooperative relay beamforming mechanism for wireless relay networks which makes use of artificial noise (AN) to confuse the eavesdropper and increase its uncertainty about the source message.The transmit power used for AN is maximized to degrade the signal-to-interference-plus-noise-ratio (SINR) level at the eavesdropper, while satisfying the individual power constraint of each relay node and worst-case SINR constraint at the desired receiver under a bounded spherical region for the norm of the CSI error vector from the relays to the destination.Cooperative beamforming weight vector in the security scheme can be obtained by using S-Procedure and rank relaxation techniques.The benefit of the proposed scheme is showed in simulation results.
This paper studies cooperative secure transmission in wireless relay networks, where a source sends a confidential message to a legitimate destination through a set of amplify-and-forward (AF) relays in the presence of multiple eavesdroppers. To prevent the eavesdroppers from retrieving the message, we assume that the relays employ a joint cooperative beamforming (CB) and artificial noise (AN) strategy. Under both the total and individual relay power constraints, we propose an optimal joint CB-AN design based on secrecy rate maximization (SRM). We treat the SRM problem by a combination of two-level optimization and semidefinite relaxation (SDR). For the latter, we prove that SDR always has a rank-one solution for the SRM problem - which identifies that SDR is optimal. Simulation results are presented to show the efficacy of the proposed joint CB-AN design.
Physical layer security has recently emerged as a promising approach to achieve security and communication integration. The built‐in security mechanism based on the characteristics of the wireless channel provides a feasible idea for the realization of “one secret at a time.” It has significant potential applications in high‐rate data transmission encryption, authentication, integrity protection of service data, and Internet of Things lightweight encryption. This paper investigates the robust secure transmit design problem for amplify‐and‐forward multiantenna relay networks in the presence of multiple single‐antenna eavesdroppers. A robust artificial noise (AN) aided secure beamforming design is proposed by taking into account the imperfect channel state information (CSI) of the eavesdroppers. The goal is to jointly design the beamforming matrix and the AN covariance matrix at the relay based on the imperfect CSI of eavesdroppers, such that the worst‐case secrecy rate is maximized subject to the total power and the per‐antenna power constraints. Aiming at the nonconvex optimization problem, a two‐level optimization algorithm based on semidefinite relaxation (SDR) and S‐procedure is proposed. It is proven that there is a rank‐one optimal solution for the SDR problem. Simulation results show that the proposed scheme is robust and superior to existing schemes.