Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83444
Title: Exact Performance Analysis of Ambient RF Energy Harvesting Wireless Sensor Networks With Ginibre Point Process
Authors: Kong, Han-Bae
Flint, Ian
Wang, Ping
Niyato, Dusit
Privault, Nicolas
Keywords: Energy harvesting
Green communications
Issue Date: 2016
Source: Kong, H.-B., Flint, I., Wang, P., Niyato, D., & Privault, N. (2016). Exact Performance Analysis of Ambient RF Energy Harvesting Wireless Sensor Networks With Ginibre Point Process. IEEE Journal on Selected Areas in Communications, 34(12), 3769-3784.
Series/Report no.: IEEE Journal on Selected Areas in Communications
Abstract: Ambient radio frequency (RF) energy harvesting methods have drawn significant interests due to their ability to provide energy to wireless devices from ambient RF sources. This paper considers ambient RF energy harvesting wireless sensor networks where a sensor node transmits data to a data sink using the energy harvested from the signals transmitted by the ambient RF sources. We analyze the performance of the network, i.e., the mean of the harvested energy, the power outage probability, and the transmission outage probability. In many practical networks, the locations of the ambient RF sources are spatially correlated and the ambient sources exhibit repulsive behaviors. Therefore, we model the spatial distribution of the ambient sources as an α-Ginibre point process (α-GPP), which reflects the repulsion among the RF sources and includes the Poisson point process as a special case. We also assume that the fading channel is Nakagami-m distributed, which also includes Rayleigh fading as a particular case. In this paper, by exploiting the Laplace transform of the α-GPP, we introduce semi-closed-form expressions for the considered performance metrics and provide an upper bound of the power outage probability. The derived expressions are expressed in terms of the Fredholm determinant, which can be computed numerically. In order to reduce the complexity in computing the Fredholm determinant, we provide a simple closed-form expression for the Fredholm determinant, which allows us to evaluate the Fredholm determinant much more efficiently. The accuracy of our analytical results is validated through simulation results.
URI: https://hdl.handle.net/10356/83444
http://hdl.handle.net/10220/42614
ISSN: 0733-8716
DOI: 10.1109/JSAC.2016.2621360
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/JSAC.2016.2621360].
Fulltext Permission: open
Fulltext Availability: With Fulltext
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