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IEEE Wireless Communications and Networking Conference

Artificial noise inserted secure communication in time-reversal systems

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

Published Apr 1, 2018• 9 citations
Publisher

Abstract

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.

DOI
10.1109/wcnc.2018.8377356

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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.
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.
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.
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.
We consider the problem of secure communication in the multiuser downlink with an external eavesdropper. The transmitter simultaneously transmits concurrent information signals to the users and an artificial noise (AN) to the eavesdropper. We derive a closed-form expression for the secrecy sum-rate in the large system limit and use it as the objective function to optimize the power allocation between the information signals and the AN to maximize the secrecy sum-rate. We obtain a simple approximation for the optimal power allocation in the high signal-to-noise ratio regime, which proves to be a generic and near-optimal strategy. Analytical and simulation results show that more power needs to be allocated to AN if the system serves fewer users and the eavesdropper has more antennas.
Wireless communication is particularly susceptible to eavesdropping due to its broadcast nature. Security and privacy issues have become increasingly critical for wireless networks. This paper considers the problem of secret communication in the multiuser downlink eavesdropped by a passive eavesdropper (EVE). The well-known zero-forcing preceding is adopted at the transmitter to produce concurrent data streams to the users, and at the same time an artificial noise (AN) is generated to prevent EVE from intercepting the information. We first derive an analytical closed-form expression for the secrecy sum-rate in the large system limit. We then use it as the objective function to optimize the power allocation (PA) between the information signals and the AN to maximize the secrecy sum-rate. A simple analytical expression of the optimal PA is derived in the high transmit power regime, which proves to be a near-optimal and generic strategy. The large system results are quite accurate for finite-size systems and thus can provide useful insights into system analysis and design. Our analytical and simulation results show that the AN assisted strategy achieves the same multiplexing gain as in the multiuser downlink without eavesdropping. Moreover, more power should be allocated to AN when the system serves fewer users and EVE has more antennas.
Transmitting the information-bearing signal simultaneously with artificial noise (AN) can guarantee secure data exchange on the open wireless channel. One of the key technologies is AN reconstruction and cancellation at the legitimate receiver, but its performance will be deteriorated by the ineluctable clock jitter at the analog-to-digital converter (ADC). In this paper, first, the received signal distorted by clock jitter is mathe-matically modelled. Then, the closed-form expression of signal to interference-plus-noise ratio (SINR) after AN cancellation is deduced, and the secrecy capacity is derived to evaluate the system security. Furthermore, to alleviate the effect of clock jitter, the optimized transmitting power allocation scheme for AN and information signal is provided. Theoretical and simulation results demonstrate that the secrecy performance is limited by the 3 dB coherence bandwidth of the phase noise caused by clock jitter, time synchronization period, and transmitting power allocation factor. With the optimized power scheme, the secrecy capacity can be increased by up to 11 % in comparison to the equal power allocation, and the optimal power allocation factor equals one when there is no clock jitter.