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IEEE Conference Proceedings

Correlation-Based Power Allocation for Secure Transmission with Artificial Noise

Yan Shihao, Xiangyun Zhou, Nan Yang, Biao He, D Abhayapala Thushara

Published Jan 1, 2016• 0 citations
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We examine for the first time the impact of transmitter-side correlation on the secure transmission with artificial noise (AN), based on which a new power allocation strategy for AN is devised for physical layer security enhancement. Specifically, we design a correlation-based power allocation (CPA) for AN, of which the optimality in terms of achieving the minimum secrecy outage probability is analytically proved in the large system regime with the number of transmit antennas approaching infinity. Our numerical results demonstrate that CPA is nearly optimal and can significantly outperform the widely-used uniform power allocation (UPA) even for a moderate (finite) number of correlated transmit antennas. Our numerical results also reveal a fundamental difference between the secrecy performance of CPA and that of UPA. When the number of correlated transmit antennas increases, we find that the secrecy outage probability of CPA always reduces while the secrecy outage probability of UPA suffers from a saturation point.

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In this paper, a power and time slot allocation method is proposed for the weighted fractional data carrying artificial noise (DCAN) to secure satellite transmission. We first introduce a data carrying artificial noise based on weighted fractional Fourier transform (WFRFT) to achieve physical layer security in satellite transmission which outperforms the traditional artificial noise method when the channel state information (CSI) is not precise at the transmitter. Then, we formulate an optimization problem to optimize the power allocation among the main signal and the weighted fractional DCANs in three steps by adopting the fractional programming, the alternative research, and difference of convex functions (DC) programming, respectively. We further divide the transmission time into different time slots and assign them to the main signals by solving a maximum weighted sum problem to ensure the transmission security with limited transmission power. Simulation results show that the proposed power and time allocation method outperforms the DCAN based on WFRFT with average power allocation when the number of the transmitted signals increases. Meanwhile, the proposed power allocation method is superior to the method based on perfect CSI or the assumption of massive transmission antennas, which may be not possible at the satellite.

IEEE Access•Jan 1, 2018•11 citations
We examine for the first time the impact of transmitter-side correlation on the secure transmission with artificial noise (AN), based on which a new power allocation strategy for AN is devised for physical layer security enhancement. Specifically, we design a correlation-based power allocation (CPA) for AN, of which the optimality in terms of achieving the minimum secrecy outage probability is analytically proved in the large system regime with the number of transmit antennas approaching infinity. Our numerical results demonstrate that CPA is nearly optimal and can significantly outperform the widely-used uniform power allocation (UPA) even for a moderate (finite) number of correlated transmit antennas. Our numerical results also reveal a fundamental difference between the secrecy performance of CPA and that of UPA. When the number of correlated transmit antennas increases, we find that the secrecy outage probability of CPA always reduces while the secrecy outage probability of UPA suffers from a saturation point.
This paper, for the first time, examines the impact of transmitter-side correlation on the artificial-noise (AN)-aided secure transmission, based on which a new power allocation strategy for AN is devised for physical layer security enhancement. Specifically, we design a correlation-based power allocation (CPA) for AN, of which the optimality in terms of achieving the minimum secrecy outage probability is analytically proved in the large system regime with the number of transmit antennas approaching infinity. In order to fully reveal the benefits of the CPA, we derive easy-to-evaluate expressions for the secrecy outage probability achieved by the CPA. Our study demonstrates that the CPA is nearly optimal and significantly outperforms the widely used uniform power allocation (UPA) even for a moderately small number of correlated transmit antennas. Furthermore, our numerical results reveal a fundamental difference between the CPA and UPA. That is when the number of correlated transmit antennas increases, the secrecy outage probability of the CPA always reduces while the secrecy outage probability of the UPA suffers from a saturation point.
In this paper, a power and time slot allocation method is proposed for the weighted fractional data carrying artificial noise (DCAN) to secure satellite transmission. We first introduce a data carrying artificial noise based on weighted fractional Fourier transform (WFRFT) to achieve physical layer security in satellite transmission which outperforms the traditional artificial noise method when the channel state information (CSI) is not precise at the transmitter. Then, we formulate an optimization problem to optimize the power allocation among the main signal and the weighted fractional DCANs in three steps by adopting the fractional programming, the alternative research, and difference of convex functions (DC) programming, respectively. We further divide the transmission time into different time slots and assign them to the main signals by solving a maximum weighted sum problem to ensure the transmission security with limited transmission power. Simulation results show that the proposed power and time allocation method outperforms the DCAN based on WFRFT with average power allocation when the number of the transmitted signals increases. Meanwhile, the proposed power allocation method is superior to the method based on perfect CSI or the assumption of massive transmission antennas, which may be not possible at the satellite.