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

Artificial noise aided path selection for secure TR communications

Si Li, Na Li, Zunning Liu, Haowei Wang, Jin Xu, Xiaofeng Tao

Published Oct 1, 2017• 6 citations
Publisher

Abstract

Time reversal (TR) transmission is a promising technique for wireless communications. Recently, the security problem in TR communication has drawn growing attention. In this paper, we firstly propose a path selection based physical layer security method, where a subset of paths with larger channel gains are selected for transmitting information signals. We then propose to add artificial noise (AN) on remaining paths to mask the information signals. The corresponding average secrecy rates are approximately derived in closed form. Analytical and simulation results show that the secrecy performance can be considerably improved with the help of path selection, and further improved with the AN aided approach. The optimal values of the selected path number and the power allocation between information signals and AN are also investigated. Simulation results show that costing a small amount of power on AN and transmitting AN on a few paths, we can achieve good secrecy performance.

DOI
10.1109/iccchina.2017.8330343

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Time reversal (TR) transmission is a promising technique for wireless communications. Recently, the security problem in TR communication has drawn growing attention. In this paper, we firstly propose a path selection based physical layer security method, where a subset of paths with larger channel gains are selected for transmitting information signals. We then propose to add artificial noise (AN) on remaining paths to mask the information signals. The corresponding average secrecy rates are approximately derived in closed form. Analytical and simulation results show that the secrecy performance can be considerably improved with the help of path selection, and further improved with the AN aided approach. The optimal values of the selected path number and the power allocation between information signals and AN are also investigated. Simulation results show that costing a small amount of power on AN and transmitting AN on a few paths, we can achieve good secrecy performance.
Artificial noise (AN) assisted secure communication is a promising technique in the area of physical layer security. In this paper, we propose a new AN method to enhance the secrecy performance of a time reverse (TR) transmission system. Based on the proposed AN model, we first derive the closed-form secrecy rate, whose accuracy is verified through simulations. Then using it as an objective function, we further study the power allocation issue between useful information signals and the AN with the aid of maximizing the secrecy rate. The optimal power allocation is first derived in closed form and then analyzed in some special cases such as Rayleigh channel. Analytical and simulation results show that the secrecy performance can be considerably improved by over 10% even with a small amount of AN. And when there are less multi-paths in the channel or when the transmit power is small, more power for AN is required.
Broadband wireless communication is implemented primarily in a complicated environment. The complex environment with time-varying multi-path propagation characteristics will seriously affect the performance of communication. To solve the problem of insecurity in information transmission in wireless channels, in this paper a system is modeled by using the multi-input single output eavesdropping channel model and the security of information transmission through time reversal technology is ensured. Another problem is that the information focuses on the receiving point. Owing to the temporal and spatial focusing characteristics of the time reversal technology the information near the receiving point can be eavesdropped easily. To solve this problem, a secure transmission scheme based on time reversal technology with artificial noise interference on the transmitter side is proposed. One of the core technologies to solve this problem is to introduce the environment adaptive technique–time reversal in the wireless link. Further, the problem of a wiretap channel in physical layer security research has become a popular research topic in recent years. To solve the problems about the physical layer wiretap channel and multi-path fading in wireless channels, a novel concept combining time reversal technology with physical layer security technology is proposed. In this paper, a physical layer secure transmission scheme based on the joint time reversal technique and artificial noise at the sending end is proposed for the wireless multi-path channel. First, in a typical wiretap channel model the time reversal technique is used to improve the security of the information transmission process by using the properties of spatial and temporal focusing. It refers to the fact that information can be focused at a given moment and in space. Second, as the information is easily eavesdropped near the focus point, artificial noise is added to the sending end to disrupt the ability of the eavesdropper to eavesdrop. The artificial noise has no effect on legitimate user due to the use of null-space artificial noise in legitimate user. Based on this scheme, a closed expression, such as secure signal-to-interference and signal-to-noise ratio, an achievable secrecy rate and bit error rate are obtained, and the influences of the number of antennas, signal-to-noise ratio, and artificial noise are analyzed. The theoretical analysis and simulation results show that the proposed scheme has a higher secrecy signal-to-noise ratio, a higher rate of secrecy, and a lower bit error rate of the legitimate user than the the existing physical layer security schemes.
We consider the problem of secure communication in wireless fading channels in the presence of non-colluding passive eavesdroppers. The transmitter has multiple antennas and is able to simultaneously transmit an information bearing signal to the intended receiver and artificial noise to the eavesdroppers. We obtain an analytical closed-form lower bound for secrecy capacity, which is used as the objective function to optimize transmit power allocation between the information signal and the artificial noise. Our analytical and numerical results show that equal power allocation is a simple and generic strategy which achieves near optimal capacity performance. We also find that adaptive power allocation based on each channel realization provides no or insignificant capacity improvement over equal power allocation.
At present, there has been a large amount of research on secrecy rate optimization. However, the reliability analysis of secure transmission is equally important although relatively less attention has been dedicated to. Therefore, this paper proposes a secure transmission method with artificial noise for the physical layer security issues in the transmission process of Multiple Input Multiple Output (MIMO) wireless communication systems. Firstly, we establish an artificial noise assisted MIMO systems model. Then, the channel state information (CSI) matrix is subjected to singular value decomposition to obtain the reasonable precoding and artificial noise matrices. Finally, the impact of artificial noise on the bit error rate performance of potential eavesdropper is analyzed, and based on the analysis, the problem of maximizing the system secrecy rate is established. The concave-convex procedure (CCCP) method is used to obtain the optimal power allocation, which significantly improves the security of MIMO systems. The simulation results show that using the null space of CSI matrix and artificial noise for signal encryption effectively improves the bit error rate of potential eavesdropping nodes. In addition, the secrecy rate obtained by the CCCP algorithm is consistent with the performance obtained by the particle swarm optimization algorithm, which verifies the effectiveness of the proposed algorithm.
A frequency domain time-reversal (TR) precoder is proposed to perform physical layer security in single-input single-output (SISO) systems using orthogonal frequency-division multiplexing (OFDM) and artificial noise (AN) injection. This scheme guarantees the secrecy of a communication towards a legitimate user, Bob, by exploiting the frequency diversity selective behaviour in multipath channels. The transmitter, Alice, has imperfect channel state information (CSI) of the legitimate link thanks to the channel reciprocity in time division duplex systems and does not know the instantaneous CSI of a potential eavesdropper, Eve. Three optimal decoding structures at Eve are considered in a block fading environment depending on the handshake procedure between Alice and Bob. Closed-form approximations of the signal-to-noise ratio required at Bob and the maximal CSI error that can be made at Alice, in order to guarantee a communication ergodic secrecy rate (ESR), are derived. Furthermore, the optimal amount of AN energy to inject, considering imperfect CSI, is also given as a closed-form expression. A trade-off on the choice of the spreading factor of the TR precoder is established between maximizing the ESR and decreasing theϵ−\boldsymbol {\epsilon }-ϵ−achievable secrecy rate. Finally, thanks to these results, Alice can be a priori aware of the ESR over which she can establish a secure communication.
In this paper,an enhanced physical layer security communication scheme is proposed for the multiple antenna systems. The scheme employing transmit antenna selection and artificial noise,also Alamouti coding,improved diversity gain in legitimate channel with low complexity in the transmitter and receiver,and at the same time efficiently jammed the wiretap channel. Consequently it can increase the system secrecy capacity. We analyze the system secrecy capacity and the impacts of the number of antennas and the power allocation between the information signal and artificial noise. Simulation results demonstrate that the proposed scheme can effectively enhance the physical layer security.