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2012 International Conference on Computing, Networking and Communications (ICNC)

Secrecy-throughput-optimal artificial noise design against randomly located eavesdroppers

Tong-Xing Zheng, Hui‐Ming Wang, Rui Huang, Pengcheng Mu

Published Feb 1, 2016• 3 citations
Publisher

Abstract

This paper investigates the parameter design and optimization on the artificial-noise-aided multi-antenna transmission in the presence of randomly located eavesdroppers. Our objective is to maximize the secrecy throughput subject to a secrecy outage constraint. We propose an on-off strategy in which the transmitter decides when to start transmissions according to the instantaneous channel state information of the main channel. System parameters, including the wiretap code rates, the transmission threshold of the on-off strategy, and the power allocation between information signals and artificial noises, are optimized based on the statistic channel state information of both the legitimate channel and the wiretap channels. The whole optimization procedure is performed off-line. We formulate the optimization problem and provide explicit solutions on the optimal parameters. Numerical results are demonstrated to verify our theoretical analysis and show the effectiveness of our design.

DOI
10.1109/iccnc.2016.7440675

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This paper investigates the parameter design and optimization on the artificial-noise-aided multi-antenna transmission in the presence of randomly located eavesdroppers. Our objective is to maximize the secrecy throughput subject to a secrecy outage constraint. We propose an on-off strategy in which the transmitter decides when to start transmissions according to the instantaneous channel state information of the main channel. System parameters, including the wiretap code rates, the transmission threshold of the on-off strategy, and the power allocation between information signals and artificial noises, are optimized based on the statistic channel state information of both the legitimate channel and the wiretap channels. The whole optimization procedure is performed off-line. We formulate the optimization problem and provide explicit solutions on the optimal parameters. Numerical results are demonstrated to verify our theoretical analysis and show the effectiveness of our design.
In this paper, we investigate the design of the artificial-noise-aided multi-antenna transmission in slow fading channels coexisting with randomly located eavesdroppers. Our objective is to maximize the outage-constrained secrecy throughput under an on-off transmission strategy in which when to start information exchange depends on the main channel's quality. To achieve our goal, we propose to adjust all the transmission parameters, including the wiretap code rates, the transmission threshold of the on-off strategy, and the power allocation between the confidential signal and artificial noise, adaptively according to the main channel's instantaneous channel state information. We formulate the optimization issue and provide explicit solutions on these transmission parameters. We further demonstrate numerical results to verify our theoretical analysis and show some insights into the secure transmission design.
In this paper, we study the secure multi-antenna transmission with artificial noise (AN) under slow fading channels coexisting with randomly located eavesdroppers. We provide a comprehensive secrecy performance analysis and system design/optimization under a stochastic geometry framework. Specifically, we first evaluate the secrecy outage performance, and derive a closed-form expression for the optimal power allocation ratio of the information signal power to the total transmit power that minimizes the secrecy outage probability (SOP). Subject to a SOP constraint, we then propose a dynamic parameter transmission scheme (DPTS) and a static parameter transmission scheme (SPTS) to maximize secrecy throughput, and provide explicit solutions on the optimal transmission parameters, including the wiretap code rates, the on-off transmission threshold and the power allocation ratio. Our results give new insight into secure transmission designs. For example, secrecy rate is a concave function of the power allocation ratio in DPTS, and AN plays a significant role under SOP constraints and in dense eavesdropper scenarios. In SPTS, transmission probability is a concave function of the power allocation ratio, and secrecy throughput is a quasi-concave function of the secrecy rate. Numerical results are demonstrated to validate our theoretical analysis.
We present an optimized secure multi-antenna transmission approach based on artificial-noise-aided beamforming, with limited feedback from a desired single-antenna receiver. To deal with beamformer quantization errors as well as unknown eavesdropper channel characteristics, our approach is aimed at maximizing throughput under dual performance constraints-a connection outage constraint on the desired communication channel and a secrecy outage constraint to guard against eavesdropping. We propose an adaptive transmission strategy that judiciously selects the wiretap coding parameters, as well as the power allocation between the artificial noise and the information signal. This optimized solution reveals several important differences with respect to solutions designed previously under the assumption of perfect feedback. We also investigate the problem of how to most efficiently utilize the feedback bits. The simulation results indicate that a good design strategy is to use approximately 20% of these bits to quantize the channel gain information, with the remainder to quantize the channel direction, and this allocation is largely insensitive to the secrecy outage constraint imposed. In addition, we find that 8 feedback bits per transmit antenna is sufficient to achieve approximately 90% of the throughput attainable with perfect feedback.
We design a novel artificial-noise-aided secure ON-OFF transmission scheme in a wiretap channel. We consider a practical scenario, where the multi-antenna transmitter only obtains partial channel knowledge from the single-antenna receiver through limited training and feedback but has no channel knowledge about the single-antenna eavesdropper. In the design, we first propose a three-period block transmission protocol to capture the practical training and quantization features. We then characterize the statistics of the received signal-to-noise ratios at the receiver and the eavesdropper. Under the secrecy outage constraint, we exploit the ON-OFF scheme to perform secure transmission and derive a closed-form expression for the secrecy throughput. Moreover, we investigate the optimization problem of maximizing the secrecy throughput by proposing an iterative algorithm to determine the optimal power allocation between the information signal and artificial noise, as well as the optimal codeword transmission rate. Furthermore, we define the net secrecy throughput (NST), which takes the signaling overhead into account and address the problem of optimally allocating the block resource to the training and feedback overhead. Numerical results clearly demonstrate how the optimal signaling overhead changes with the number of transmit antennas, and there exists an optimal number of antennas that maximizes the NST.
We analyze and optimize the secrecy performance of artificial noise (AN) in multi-input single-output wiretap channels with multiple antennas at the transmitter and a single antenna at the receiver and the eavesdropper. We consider two transmission schemes: 1) an on-off transmission scheme with a constant secrecy rate for all transmission periods, and 2) an adaptive transmission scheme with a varying secrecy rate during each transmission period. For the on-off transmission scheme, an easy-to-compute expression is derived for the hybrid outage probability, which allows us to evaluate the transmission outage probability and the secrecy outage probability. For the adaptive transmission scheme where transmission outage does not occur, we derive a closed-form expression for the secrecy outage probability. Using these expressions, we determine the optimal power allocation between the information signal and the AN signal and also determine the optimal secrecy rate such that the effective secrecy throughput is maximized for both transmission schemes. We show that the maximum effective secrecy throughput requires more power to be allocated to the AN signal when the quality of the transmitter-receiver channel or the transmitter-eavesdropper channel improves. We also show that both transmission schemes achieve a higher maximum effective secrecy throughput while incurring a lower secrecy outage probability than existing schemes.
We analyze and optimize the use of artificial noise (AN) for a predefined secrecy rate in wiretap channels with a multi-antenna transmitter, a single-antenna receiver, and a single-antenna eavesdropper. We derive a new closed-form expression for the secrecy outage probability that is independent of the channel realization. Based on this expression, we first optimize the power allocation between the information signal and the AN signal such that the secrecy outage probability is minimized. We then optimize jointly the power allocation and secrecy rate such that the secrecy throughput is maximized. As demonstrated by our analysis, the minimum secrecy outage probability requires more power to be allocated to the AN signal when the quality of the main channel quality or the eavesdropper's channel improves.