Secrecy Throughput Analysis of Energy Scavenging Overlay Networks with Artificial Noise

2021

Preprint

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EHONs (Energy Harvesting Overlay Networks) satisfy stringent design requirements such as high energy-and-spectrum utilization efficiencies. However, due to open access nature of these networks, eavesdroppers can emulate cognitive radios to wire-tap legitimate information, inducing information security to become a great concern. In order to protect legitimate information against eavesdroppers, this paper generates artificial noise transmitted simultaneously with legitimate information to interfere eavesdroppers. Nonetheless, artificial noise cannot be perfectly suppressed at legitimate receivers as for its primary purpose of interfering only eavesdroppers. Moreover, channel information used for signal detection is hardly estimated at receivers with absolute accuracy. As such, to quickly evaluate impact of channel estimation-and-artificial noise cancellation imperfection on secrecy performance of secondary/primary communication in ANaEHONs (Artificial Noise-aided EHONs), this paper firstly proposes precise closed-form formulas of primary/secondary SOP (Secrecy Outage Probability). Then, computer simulations are provided to corroborate these formulas. Finally, various results are illustrated to shed insights into secrecy performance of ANaEHON with key system parameters from which optimum parameters are recognized. Notably, secondary/primary communication can be secured at different levels by flexibly adjusting various parameters of the proposed system model

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Section: B Motivations and Contributionsmentioning

confidence: 99%

“…The secondary transmitter harvests RF energy from the primary transmitter and transmits not only its private operating in the overlay mode (i.e., relay primary message and transmit secondary message) and the jammer by network-coding three (primary, secondary, artificial noise) signals. Moreover, [24] and [25] proposed the SOP analysis.…”

Section: A Prior Workmentioning

confidence: 99%

Impact of Channel Estimation-and-Artificial Noise Cancellation Imperfection on Artificial Noise-Aided Energy Harvesting Overlay Networks

2021

Preprint

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“…Whilst most publications have investigated the PHY security for energy harvesting (interweave/underlay) networks, a handful works have paid attention to the overlay mechanism [5,[21][22][23][24][25][26][27][28]. More specifically, [21] investigated the almost similar system model to ours but EHONs are secured by asking a devoted jammer to jam the eavesdropper.…”

Section: Introductionmentioning

confidence: 99%

“…Lately, [26][27][28] suggested that a two-phase ( [26,28] are conference versions where [26] considered Rayleigh fading while [28] generalized [26] with Nakagami-m fading. Because of conference versions, [26,28] briefly outlined few results without any proof) transmission scheme incorporated with artificial noise generation in EHONs to enhance spectral efficiency and security capability. Moreover, [26][27][28] analyzed the SOP of cognitive and primary communications in EHONs.…”

Section: Introductionmentioning

confidence: 99%

“…Because of conference versions, [26,28] briefly outlined few results without any proof) transmission scheme incorporated with artificial noise generation in EHONs to enhance spectral efficiency and security capability. Moreover, [26][27][28] analyzed the SOP of cognitive and primary communications in EHONs. Nonetheless, similarly to [5,25], the authors in [26][27][28] considered the DF cognitive users, which may cease primary communications if CUs fail to restore primary message.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Artificial Noise on Security Capability of Energy Harvesting Overlay Networks

Wireless Communications and Mobile Computing

2021

Self Cite

Artificial noise, energy harvesting, and overlay communications can assure design metrics of modern wireless networks such as data security, energy efficiency, and spectrum utilization efficiency. This paper studies impact of artificial noise on security capability of energy harvesting overlay networks in which the cognitive transmitter capable of self-powering its operation by harvesting radio frequency energy and self-securing its communications against eavesdroppers by generating artificial noise amplifies and forwards the signal of the primary transmitter as well as transmits its individual signal concurrently. To quantify this impact, the current paper firstly suggests accurate expressions of crucial security performance indicators. Then, computer simulations are supplied to corroborate these expressions. Finally, numerous results are demonstrated to expose insights into this impact from which optimum specifications are determined. Notably, primary/cognitive communications can be secured at distinct degrees by flexibly controlling multiple specifications of the suggested system model.

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Impact of channel estimation-and-artificial noise cancellation imperfection on artificial noise-aided energy harvesting overlay networks

2021

Telecommun Syst