2015
DOI: 10.1109/mwc.2015.7306543
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Cost-effective hybrid RF/FSO backhaul solution for next generation wireless systems

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Cited by 131 publications
(65 citation statements)
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“…R,i is modelled as Rayleigh distribution [1], [27]. In addition, the transmitted RF power at the source and the relays are considered to be equal, i.e., P S R = P R R = P R .…”
Section: Numerical Results Analysismentioning
confidence: 99%
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“…R,i is modelled as Rayleigh distribution [1], [27]. In addition, the transmitted RF power at the source and the relays are considered to be equal, i.e., P S R = P R R = P R .…”
Section: Numerical Results Analysismentioning
confidence: 99%
“…R,i is associated with the specific distance between the source (relay) and relay (destination) and the fading coefficient h (t) R,i can be described by distinct models such as Rayleigh, Rician or Nakagami-m fading in different application scenarios [1], [19], [32].…”
Section: ) Fso Linkmentioning
confidence: 99%
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“…However, quality of service (QoS) requirements to the air-to-ground communications are not considered in these works. Motivated by the aforementioned FSOC-based vertical backhaul framework [5] and the Facebook's Aquila project, we consider the FSOC-enabled backhaul network with the help of UAV, which can offer data rates higher than the baseline alternatives, and thus can be considered as a promising solution to the emerging wireless backhauling as discussed in [22]. In our previous paper, we have discussed roughly the UAV-mounted FSOC system and solved the energy efficiency optimization problem in [23].…”
Section: B Motivation and Major Contributionsmentioning
confidence: 99%
“…In [11], [12], and [13] the authors propose MIP formulations to tackle edge-disjointness with side constraints such as node-degree and hop-constraints, but without considering the distance constraint. Additionally, [14] shows experimental results for the edge-disjoint solutions with the distance constraint for networks with up to 40 nodes.…”
Section: Related Workmentioning
confidence: 99%