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IEEE Communications Letters

Optimal Power Allocation for Artificial Noise in a Poisson Interference Field

Seong Ho Chae, Wan Choi

Published Jun 6, 2016• 5 citations
Publisher

Abstract

Network interference disturbs the legitimate receiver as well as eavesdroppers. Artificial noise transmission is able to indirectly control these negative and positive effects of interfering signals on secrecy communication, and thus improves the secrecy transmission rate. Contrary to the previous results presuming some prior information on eavesdroppers, this letter studies secrecy enhancement via the optimal use of an artificial noise without the knowledge related to eavesdroppers. We derive the optimal use of artificial noise with constraints for reliability and secrecy level and the corresponding secrecy transmission rate in the presence of network interference for the worst scenario.

DOI
10.1109/lcomm.2016.2577026

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Network interference disturbs the legitimate receiver as well as eavesdroppers. Artificial noise transmission is able to indirectly control these negative and positive effects of interfering signals on secrecy communication, and thus improves the secrecy transmission rate. Contrary to the previous results presuming some prior information on eavesdroppers, this letter studies secrecy enhancement via the optimal use of an artificial noise without the knowledge related to eavesdroppers. We derive the optimal use of artificial noise with constraints for reliability and secrecy level and the corresponding secrecy transmission rate in the presence of network interference for the worst scenario.
Recently, the use of artificial noise has attracted considerable attention in enhancing the physical-layer security of wireless systems. However, the interaction between artificially generated noise and the inherent network interference can significantly affect the level of secrecy. In this paper, we consider the additional secrecy enhancement with artificial noise and secrecy protected zone in the presence of eavesdroppers and interferers with unknown locations. Specifically, we derive the secrecy transmission rate and investigate the relationship between artificial noise and various system parameters like secrecy protected zone radius and intensity of interferers and eavesdroppers on the secrecy transmission rate. In interference-limited networks, we derive the optimal power allocation between the information-bearing signal and artificial noise to maximize the achievable secrecy transmission rate subject to connection and secrecy outage probabilities. Numerical results show that artificial noise is still beneficial in the presence of inherent network interference to improve secrecy transmission rate and provide rules of thumb to quantify when optimal power allocation is useful.
Artificial noise has been considered as an effective and efficient way to improve the secrecy of wireless communications. However, most existing papers have been focused on the analysis of a single communication link between a transmitter and a legitimate receiver with some eavesdroppers. In this paper, we investigate the impact of artificial noise to the secrecy of a large scale decentralized wireless network where channels are modeled as Rayleigh fading and locations of legitimate nodes and eavesdroppers follow Poisson point processes. To study network throughput versus system parameters, we derive the secrecy transmission capacity and show how it is related to the number of transmitting antennas and the power allocation ratio between data and artificial noise. Analytical results provide insights on how system parameters can be designed to improve secrecy transmission capacity of a wireless network.
The authors study the secure transmission design in random cognitive radio networks where the primary users, the secondary users and the eavesdroppers are randomly distributed according to Poisson point processes. Centring on this scenario, the authors propose a simple and decentralised secure transmission scheme by jointly incorporating the secrecy guard zone and artificial noise. In particular, this transmission scheme helps to enhance secrecy performance via differentiating between secondary transmitters in accordance with the eavesdropping environment. They then analyse the connection outage and secrecy outage performance of the secondary network, based on which they obtain the closed‐form expression of the secrecy throughput. They further determine the optimal transmission power of the secondary transmitters and the optimal power allocation between the information‐bearing signal and artificial noise to maximise the secrecy throughput of the secondary network under primary and secondary outage constraints. The authors’ analysis highlights that introducing secrecy guard zone provides better security performance, and artificial noise performs as additional interference to insert a control between the reliability and security. Numerical results show how the system parameters affect the achievable maximum secrecy throughput, the optimal transmission power and the optimal power allocation between the information‐bearing signal and the artificial noise.
In this paper, we combine sectorized transmission with artificial noise to establish secrecy in decentralized wireless networks. The locations of the legitimate nodes and the eavesdroppers are both modeled by homogeneous Poisson point processes. Using sectorized antennas, each legitimate transmitter sends an information signal in the sector which contains its intended receiver, while simultaneously emitting artificial noise in other sectors, in order to provide secrecy against the eavesdroppers. We first separately characterize the reliability performance of the legitimate link and the secrecy performance against malicious eavesdropping. Then, we derive the secrecy transmission capacity to measure the networkwide secrecy throughput. To facilitate the practical system design, we provide a sufficient condition, in terms of the system parameters and constraints, under which a positive secrecy transmission capacity is achievable. The optimal transmit power allocation between the information signal and the artificial noise for achieving the maximal secrecy transmission capacity is also investigated. Our analysis indicates that sectorized transmission provides significant secrecy enhancements in decentralized wireless networks.
In this paper, we investigate the performance of artificial noise assisted secure communication in the presence of a full-duplex active eavesdropper who can simultaneously perform eavesdropping and jamming. An approximate closed-form expression for the secrecy rate is derived. With this result, we obtain a new result for the optimal power allocation factor maximizing the secrecy rate, and analyze the impact of self-interference coefficient and jamming power on it. We further consider a more practical scenario where the legitimate user aims to maintain a given target data rate and uses all remaining power for artificial noise (AN) to interfere with the eavesdropper. While the eavesdropper tries to compel the transmitter to reduce the AN by sending jamming signals to the legitimate receiver. To solve this conflict, we introduce a power cost parameter to describe the impact of jamming on the eavesdropper itself and then formulate a game-theoretic framework. We also derive the closed-form equilibrium solutions for both sides. These results show the optimal jamming strategy of the eavesdropper and provide insights into the low bound secrecy performance. Finally, simulation results are provided to verify our analytical results.
Physical-layer security has become widely recognized as a promising technique to enhance wireless security by exploiting the characteristics including fading, noise, and interference. This letter explores an opportunity to enhance physical-layer security by balancing the power expense between pilot and payload signals without any prior knowledge related to eavesdroppers. In lieu of presuming perfect channel acquisition, we consider a practical wiretap channel with the receivers enabled by pilot-aided channel estimation (CE). The problem is tackled by accounting for the network interference from cochannel interferers in unknown locations by which the secrecy level is significantly affected. Specifically, the secrecy transmission rate (STR) reflecting the CE errors is derived for the worst-case within the use of a protected zone. We investigate the feasible region of pilot and data power allocation under reliability and secrecy constraints, and the optimal power allocation for pilot and data to maximize the STR is proposed, whose performance is verified via simulations.