Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling

Yuan Liao; Vasilis Friderikos; Halim Yanikomeroglu

doi:10.1109/LWC.2023.3338865

Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling

Yuan Liao, Vasilis Friderikos, Halim Yanikomeroglu

Carleton University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

101 Downloads (Pure)

Abstract

Robotic aerial base stations (RABSs) that are able to anchor at tall urban landforms are expected to bring further flexibility to millimeter-wave (mmWave) multi-hop backhaul networks in highly dense urban environments. In this paper, a swarm of RABSs are deployed to construct a dynamic mmWave backhaul network according to the traffic spatial distribution, and relocate their positions in subsequent time epochs according to the traffic temporal dynamic. The overall energy efficiency of the proposed framework is maximized by determining the RABS deployment, relocation and route formation under the channel capacity and hop constraints. The problem is formulated as a mixed-integer linear fractional programming (MILFP) and a two-stage method is developed to overcome the computational complexity. A wide set of numerical investigations reveal that compared to fixed small cells, only half as many RABSs are required to cover the same volume of traffic demand.

Original language	English
Pages (from-to)	1
Number of pages	5
Journal	IEEE Wireless Communications Letters
DOIs	https://doi.org/10.1109/LWC.2023.3338865
Publication status	Published - 4 Dec 2023

Access to Document

10.1109/LWC.2023.3338865

Swarm of Robotic Aerial_LIAO_Accepted4December2023_GREEN AAMAccepted author manuscript, 765 KB

Cite this

@article{e47de7e848004864a3703a511b76e15d,

title = "Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling",

abstract = "Robotic aerial base stations (RABSs) that are able to anchor at tall urban landforms are expected to bring further flexibility to millimeter-wave (mmWave) multi-hop backhaul networks in highly dense urban environments. In this paper, a swarm of RABSs are deployed to construct a dynamic mmWave backhaul network according to the traffic spatial distribution, and relocate their positions in subsequent time epochs according to the traffic temporal dynamic. The overall energy efficiency of the proposed framework is maximized by determining the RABS deployment, relocation and route formation under the channel capacity and hop constraints. The problem is formulated as a mixed-integer linear fractional programming (MILFP) and a two-stage method is developed to overcome the computational complexity. A wide set of numerical investigations reveal that compared to fixed small cells, only half as many RABSs are required to cover the same volume of traffic demand.",

author = "Yuan Liao and Vasilis Friderikos and Halim Yanikomeroglu",

note = "Publisher Copyright: IEEE",

year = "2023",

month = dec,

day = "4",

doi = "10.1109/LWC.2023.3338865",

language = "English",

pages = "1",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

}

TY - JOUR

T1 - Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling

AU - Liao, Yuan

AU - Friderikos, Vasilis

AU - Yanikomeroglu, Halim

N1 - Publisher Copyright: IEEE

PY - 2023/12/4

Y1 - 2023/12/4

N2 - Robotic aerial base stations (RABSs) that are able to anchor at tall urban landforms are expected to bring further flexibility to millimeter-wave (mmWave) multi-hop backhaul networks in highly dense urban environments. In this paper, a swarm of RABSs are deployed to construct a dynamic mmWave backhaul network according to the traffic spatial distribution, and relocate their positions in subsequent time epochs according to the traffic temporal dynamic. The overall energy efficiency of the proposed framework is maximized by determining the RABS deployment, relocation and route formation under the channel capacity and hop constraints. The problem is formulated as a mixed-integer linear fractional programming (MILFP) and a two-stage method is developed to overcome the computational complexity. A wide set of numerical investigations reveal that compared to fixed small cells, only half as many RABSs are required to cover the same volume of traffic demand.

AB - Robotic aerial base stations (RABSs) that are able to anchor at tall urban landforms are expected to bring further flexibility to millimeter-wave (mmWave) multi-hop backhaul networks in highly dense urban environments. In this paper, a swarm of RABSs are deployed to construct a dynamic mmWave backhaul network according to the traffic spatial distribution, and relocate their positions in subsequent time epochs according to the traffic temporal dynamic. The overall energy efficiency of the proposed framework is maximized by determining the RABS deployment, relocation and route formation under the channel capacity and hop constraints. The problem is formulated as a mixed-integer linear fractional programming (MILFP) and a two-stage method is developed to overcome the computational complexity. A wide set of numerical investigations reveal that compared to fixed small cells, only half as many RABSs are required to cover the same volume of traffic demand.

UR - http://www.scopus.com/inward/record.url?scp=85179800377&partnerID=8YFLogxK

U2 - 10.1109/LWC.2023.3338865

DO - 10.1109/LWC.2023.3338865

M3 - Article

SN - 2162-2337

SP - 1

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

ER -

Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling

Abstract

Access to Document

Other files and links

Fingerprint

Cite this