Ambient RF energy harvesting in ultra-dense small cell networks: performance and trade-offs

In order to minimize electric grid power consumption, energy harvesting from ambient RF sources is considered as a promising technique for wireless charging of low-power devices. To illustrate the design considerations of RF-based ambient energy harvesting networks, this article first points out the...

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Bibliographic Details
Published in:IEEE wireless communications 2016-04, Vol.23 (2), p.38-45
Main Authors: Ghazanfari, Amin, Tabassum, Hina, Hossain, Ekram
Format: Article
Language:English
Subjects:
Devices
Energy harvesting
Energy management
Interference
Mathematical models
Networks
Radio equipment
Radio frequency
Receivers
Signal to noise ratio
Stations
Tradeoffs
Wireless communication
Wireless sensor networks
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Summary:In order to minimize electric grid power consumption, energy harvesting from ambient RF sources is considered as a promising technique for wireless charging of low-power devices. To illustrate the design considerations of RF-based ambient energy harvesting networks, this article first points out the primary challenges of implementing and operating such networks, including non-deterministic energy arrival patterns, energy harvesting mode selection, energy-aware cooperation among base stations, and so on. A brief overview of recent advances and a summary of their shortcomings are then provided to highlight existing research gaps and possible future research directions. To this end, we investigate the feasibility of implementing RF-based ambient energy harvesting in ultra-dense small cell networks and examine the related trade-offs in terms of the energy efficiency and signal-to-interference-plus-noise ratio outage probability of a typical user in the downlink. Numerical results demonstrate the significance of deploying a mixture of on-grid small base stations (powered by electric grid) and off-grid small base stations (powered by energy harvesting), and optimizing their corresponding proportions as a function of the intensity of active small base stations in the network.
ISSN:1536-1284
1558-0687
DOI:10.1109/MWC.2016.7462483