FSO-based multi-layer airborne backhaul networks

Name: FSO-based multi-layer airborne backhaul networks
Author: Uysal, Murat, Elamassie, Mohammed

İsim	FSO-based multi-layer airborne backhaul networks
Yazar	Uysal, Murat, Elamassie, Mohammed
Basım Tarihi:	2024-10
Basım Yeri	- IEEE
Konu	And unmanned aerial vehicles, High-altitude platform stations, Backhaul networks, Non-terrestrial networks, Free space optical communication, Buildings, Autonomous aerial vehicles, Wireless communication, Microprocessors, Base stations, Computer architecture, Backhaul networks
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0018-9545
Kayıt Numarası	035a7a34-3f22-4f50-984a-344f710f856d
Lokasyon	Electrical & Electronics Engineering
Tarih	2024-10
Notlar	TÜBİTAK
Örnek Metin	The deployment of non-terrestrial networks (NTNs) is envisioned to realize a truly global coverage for 6G and beyond. Advances in autonomous avionics and lightweight composite materials have positioned high-altitude platform stations (HAPSs) as viable NTN nodes for future networks in addition to rotary-wing unmanned aerial vehicles (UAVs). In this paper, we address the system-level design of a multi-layer airborne backhaul network where HAPSs and rotary-wing UAVs provide free space optical (FSO) backhaul links to the ground base stations. While HAPS fleets operate in circular tracks at stratospheric altitudes and provide wide coverage, rotary-wing UAVs operate at low and medium altitudes complementing the HAPSs. The aerial backhaul architecture should be designed to provide a seamless connection with base stations without any coverage gap. We present a step-by-step system design methodology for FSO-based airborne backhaul systems. For a given coverage area, we discuss how to select the number of required layers, the number of HAPS tracks, the number of HAPSs per track, the number of UAVs in the lower altitudes, the operation altitude of the middle-layer UAVs, and the number of laser sources per airborne node. We present several numerical results to highlight our findings for typical rural and urban areas.
DOI	10.1109/TVT.2024.3405735
Cilt	73

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FSO-based multi-layer airborne backhaul networks

Yazar Uysal, Murat, Elamassie, Mohammed

Basım Tarihi 2024-10

Basım Yeri - IEEE

Konu And unmanned aerial vehicles, High-altitude platform stations, Backhaul networks, Non-terrestrial networks, Free space optical communication, Buildings, Autonomous aerial vehicles, Wireless communication, Microprocessors, Base stations, Computer architecture, Backhaul networks

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0018-9545

Kayıt Numarası 035a7a34-3f22-4f50-984a-344f710f856d

Lokasyon Electrical & Electronics Engineering

Tarih 2024-10

Notlar TÜBİTAK

Örnek Metin The deployment of non-terrestrial networks (NTNs) is envisioned to realize a truly global coverage for 6G and beyond. Advances in autonomous avionics and lightweight composite materials have positioned high-altitude platform stations (HAPSs) as viable NTN nodes for future networks in addition to rotary-wing unmanned aerial vehicles (UAVs). In this paper, we address the system-level design of a multi-layer airborne backhaul network where HAPSs and rotary-wing UAVs provide free space optical (FSO) backhaul links to the ground base stations. While HAPS fleets operate in circular tracks at stratospheric altitudes and provide wide coverage, rotary-wing UAVs operate at low and medium altitudes complementing the HAPSs. The aerial backhaul architecture should be designed to provide a seamless connection with base stations without any coverage gap. We present a step-by-step system design methodology for FSO-based airborne backhaul systems. For a given coverage area, we discuss how to select the number of required layers, the number of HAPS tracks, the number of HAPSs per track, the number of UAVs in the lower altitudes, the operation altitude of the middle-layer UAVs, and the number of laser sources per airborne node. We present several numerical results to highlight our findings for typical rural and urban areas.

DOI 10.1109/TVT.2024.3405735

Cilt 73