Full-Duplex Energy-Harvesting in Energy-Constrained Networks Over $\alpha$–Lomax Fading Channels

Simultaneous wireless information and power transfer (SWIPT) is a promising technology to prolong the lifetime of energy-constrained networks by enabling wireless nodes to harvest man-made RF signals. Unlike all studies in the open literature, this paper investigates the performance of a dual-hop full-duplex decode-and-forward relay network over <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>–Lomax fading channels. The relay node is energy-constrained and relies entirely on harvesting energy from the signal transmitted by the source. The system performance is evaluated in terms of ergodic outage probability. In this regard, the cumulative distribution function of the product of two <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>–Lomax random variables (RVs) is derived. This was then employed to derive a closed-form analytical expression for the ergodic outage probability. Monte-Carlo simulations are also provided throughout to verify the accuracy of the analysis. The derived expression is used to investigate the impact of various system parameters on the performance. The results indicated that a good selection of the energy harvesting time is crucial to minimize the ergodic outage probability.

Authors

Institutions

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174890
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Full-Duplex Energy-Harvesting in Energy-Constrained Networks Over $\alpha$–Lomax Fading Channels

Khaled M. Rabie
Energy Harvesting in Wireless Networks
article

Full-Duplex Energy-Harvesting in Energy-Constrained Networks Over $\alpha$–Lomax Fading Channels

Khaled M. Rabie
article en

Abstract

Simultaneous wireless information and power transfer (SWIPT) is a promising technology to prolong the lifetime of energy-constrained networks by enabling wireless nodes to harvest man-made RF signals. Unlike all studies in the open literature, this paper investigates the performance of a dual-hop full-duplex decode-and-forward relay network over <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>–Lomax fading channels. The relay node is energy-constrained and relies entirely on harvesting energy from the signal transmitted by the source. The system performance is evaluated in terms of ergodic outage probability. In this regard, the cumulative distribution function of the product of two <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>–Lomax random variables (RVs) is derived. This was then employed to derive a closed-form analytical expression for the ergodic outage probability. Monte-Carlo simulations are also provided throughout to verify the accuracy of the analysis. The derived expression is used to investigate the impact of various system parameters on the performance. The results indicated that a good selection of the energy harvesting time is crucial to minimize the ergodic outage probability.

King Fahd University of Petroleum and Minerals (SA)
Openalex Percentile: Top 73%
Energy Harvesting in Wireless Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Full-Duplex Energy-Harvesting in Energy-Constrained Networks Over $\alpha$–Lomax Fading Channels — Khaled M. Rabie · (2025) | TGRS Research Map | TGRS