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International Conference on Communications and Networking in China (ChinaCom)

Adaptive artificial noise transmission against randomly distributed eavesdroppers

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

Published Aug 1, 2015• 2 citations
Publisher

Abstract

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.

DOI
10.1109/chinacom.2015.7497946

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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.
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 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.
In this paper, we investigate the design of artificial-noise-aided secure multi-antenna transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: 1) the design parameters are chosen to be fixed for all transmissions; and 2) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level while maintaining a specified target throughput. In the end, the throughput gain of adaptive transmission over non-adaptive transmission is also quantified and analyzed.
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.
The design of artificial-noise-aided secure transmission over multiple-input, single-output, and multi-antenna eavesdropper (MISOME) slow fading channels is addressed in this paper. We consider the scenario where the messages sent by N-antenna transmitter are overheard by a K-antenna eavesdropper. The instantaneous channel state information of the eavesdropper's channel is assumed to be unknown to the transmitter, and we use the secrecy outage probability as the security metric. Differing from the well-known adaptive and non- adaptive schemes, we consider the newly proposed semi-adaptive (S-ADP) scheme, in which the communication rate is fixed and the secrecy rate is adaptively adjusted. By fixing the communication rate, the codebook can be fixed, thus the encoder and decoder designs are both simplified. The communication rate is assumed to be predefined as in many practical scenarios, and we maximize the secrecy rate under reliability and secrecy constraints. Simulation results show that the S-ADP scheme can achieve satisfactory performance.
This paper studies the design of artificial-noise-aided (AN-aided) secure transmission in slow-fading multiple-input–single-output (MISO) channels. We consider the scenario where a multiantenna transmitter sends messages to a single-antenna legitimate receiver in the presence of multiple noncolluding single-antenna eavesdroppers. It is assumed that the transmitter possesses instantaneous channel state information (CSI) of the legitimate channel but only the statistics of the eavesdropper's channels. Instead of adopting the well-known adaptive and nonadaptive transmission schemes, we consider the newly proposed semiadaptive scheme, in which the communication rate is fixed, and the secrecy rate is adaptively adjusted according to the legitimate channel's CSI. Compared with the adaptive scheme, a major advantage of fixing the communication rate is that the codebook can be fixed, and thus, the encoder and decoder designs are both simplified. We consider a generalized AN-aided beamforming structure, which allows arbitrary beamforming direction. Specifically, we focus on the problem of maximizing the secrecy throughput on the premise of reliable and secure transmission. By solving this problem, the optimal beamforming direction, power-allocation parameters, and secrecy rate are derived in closed form, and the optimal communication rate is obtained numerically. Finally, simulation results are presented to show the performance of the semiadaptive scheme.