Dual-Hop Mixed FSO-RF Wireless Powered Relaying System: Performance Analysis With Nonlinear Energy Harvesting

Energy harvesting (EH) extends device lifespan and reduces carbon emissions in wireless communication. Non-linear EH overcomes not only sensitivity and saturation issues, surpassing linear EH but also power beacon (PB)-based wireless power transfer challenges. In contrast to commonly used linear EH in existing work, in this considered fee-space optical-radio frequency (FSO-RF system), non-linear EH is used, wherein a source node communicates with a user (destination) through a single-aperture, single-antenna relay that harnesses energy from a PB. Gamma-Gamma and Nakagami-m fading models, respectively, characterize the FSO-RF channels. The closed-form expressions for the Outage Probability (OP) and the Average Bit Error Rate (ABER) are derived considering atmospheric turbulence and pointing errors. Additionally, asymptotic analysis is conducted for OP to ascertain the diversity order. The system performance with various detection methods, pointing errors, atmospheric turbulence levels and the energy harvester’s saturation threshold is investigated. Monte Carlo simulations validate the theoretical findings. Results indicate that HD detection outperforms IM/DD in reducing OP. Moreover, increasing pointing error, decreasing turbulence strength, elevating fading severity, and raising the saturation threshold contribute to OP reduction. Furthermore, weaker turbulence and higher pointing error parameters exhibit superior ABER performance.

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Publication Details

Journal
IEEE Transactions on Green Communications and Networking
Published
2024-10-17
DOI
https://doi.org/10.1109/tgcn.2024.3482866
Citations
6
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.25
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article

Dual-Hop Mixed FSO-RF Wireless Powered Relaying System: Performance Analysis With Nonlinear Energy Harvesting

Ravindra Kumar, Mahendra K. Shukla, Vinay Kumar, Rajeev Tripathi
6 citations
IEEE Transactions on Green Communications and Networking
Energy Harvesting in Wireless Networks
1.25
article

Dual-Hop Mixed FSO-RF Wireless Powered Relaying System: Performance Analysis With Nonlinear Energy Harvesting

Ravindra Kumar, Mahendra K. Shukla, Vinay Kumar, Rajeev Tripathi
article en
6 citations

Abstract

Energy harvesting (EH) extends device lifespan and reduces carbon emissions in wireless communication. Non-linear EH overcomes not only sensitivity and saturation issues, surpassing linear EH but also power beacon (PB)-based wireless power transfer challenges. In contrast to commonly used linear EH in existing work, in this considered fee-space optical-radio frequency (FSO-RF system), non-linear EH is used, wherein a source node communicates with a user (destination) through a single-aperture, single-antenna relay that harnesses energy from a PB. Gamma-Gamma and Nakagami-m fading models, respectively, characterize the FSO-RF channels. The closed-form expressions for the Outage Probability (OP) and the Average Bit Error Rate (ABER) are derived considering atmospheric turbulence and pointing errors. Additionally, asymptotic analysis is conducted for OP to ascertain the diversity order. The system performance with various detection methods, pointing errors, atmospheric turbulence levels and the energy harvester’s saturation threshold is investigated. Monte Carlo simulations validate the theoretical findings. Results indicate that HD detection outperforms IM/DD in reducing OP. Moreover, increasing pointing error, decreasing turbulence strength, elevating fading severity, and raising the saturation threshold contribute to OP reduction. Furthermore, weaker turbulence and higher pointing error parameters exhibit superior ABER performance.

IEEE Transactions on Green Communications and NetworkingVol. 9(3)
Motilal Nehru National Institute of Technology (IN), Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
Affordable and clean energy
Openalex Percentile: Top 20%
Energy Harvesting in Wireless Networks
1.25
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