An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks
Flying networks, composed of Unmanned Aerial Vehicles (UAVs) acting as mobile Base Stations and Access Points, have emerged to provide on-demand wireless connectivity, especially due to their positioning capability. Still, existing solutions are focused on improving aggregate network performance usi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9975290/ |
| _version_ | 1811177607059734528 |
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| author | Andre Coelho Joao Rodrigues Helder Fontes Rui Campos Manuel Ricardo |
| author_facet | Andre Coelho Joao Rodrigues Helder Fontes Rui Campos Manuel Ricardo |
| author_sort | Andre Coelho |
| collection | DOAJ |
| description | Flying networks, composed of Unmanned Aerial Vehicles (UAVs) acting as mobile Base Stations and Access Points, have emerged to provide on-demand wireless connectivity, especially due to their positioning capability. Still, existing solutions are focused on improving aggregate network performance using a best-effort approach. This may compromise the use of multiple services with different performance requirements. Network slicing has emerged in 5G networks to address the problem, allowing to meet different Quality of Service (QoS) levels on top of a shared physical network infrastructure. However, Mobile Network Operators typically use fixed Base Stations to satisfy the requirements of different network slices, which may not be feasible due to limited resources and the dynamism of some scenarios.We propose an algorithm for enabling the joint placement and allocation of communications resources in Slicing-aware Flying Access and Backhaul networks– SurFABle. SurFABle allows the computation of the amount of communications resources needed, namely the number of UAVs acting as Flying Access Points and Flying Gateways, and their placement. The performance evaluation carried out by means of ns-3 simulations and an experimental testbed shows that SurFABle makes it possible to meet heterogeneous QoS levels of multiple network slices using the minimum number of UAVs. |
| first_indexed | 2024-04-11T06:04:16Z |
| format | Article |
| id | doaj.art-7f48c387c16241578975b0ac98651209 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T06:04:16Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7f48c387c16241578975b0ac986512092022-12-22T04:41:32ZengIEEEIEEE Access2169-35362022-01-011012892312894210.1109/ACCESS.2022.32276539975290An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul NetworksAndre Coelho0https://orcid.org/0000-0003-4910-4567Joao Rodrigues1https://orcid.org/0000-0001-7117-3943Helder Fontes2https://orcid.org/0000-0002-7672-8335Rui Campos3https://orcid.org/0000-0001-9419-6670Manuel Ricardo4https://orcid.org/0000-0003-1969-958XINESC TEC, Faculdade de Engenharia, Universidade do Porto, Porto, PortugalINESC TEC, Faculdade de Engenharia, Universidade do Porto, Porto, PortugalINESC TEC, Faculdade de Engenharia, Universidade do Porto, Porto, PortugalINESC TEC, Faculdade de Engenharia, Universidade do Porto, Porto, PortugalINESC TEC, Faculdade de Engenharia, Universidade do Porto, Porto, PortugalFlying networks, composed of Unmanned Aerial Vehicles (UAVs) acting as mobile Base Stations and Access Points, have emerged to provide on-demand wireless connectivity, especially due to their positioning capability. Still, existing solutions are focused on improving aggregate network performance using a best-effort approach. This may compromise the use of multiple services with different performance requirements. Network slicing has emerged in 5G networks to address the problem, allowing to meet different Quality of Service (QoS) levels on top of a shared physical network infrastructure. However, Mobile Network Operators typically use fixed Base Stations to satisfy the requirements of different network slices, which may not be feasible due to limited resources and the dynamism of some scenarios.We propose an algorithm for enabling the joint placement and allocation of communications resources in Slicing-aware Flying Access and Backhaul networks– SurFABle. SurFABle allows the computation of the amount of communications resources needed, namely the number of UAVs acting as Flying Access Points and Flying Gateways, and their placement. The performance evaluation carried out by means of ns-3 simulations and an experimental testbed shows that SurFABle makes it possible to meet heterogeneous QoS levels of multiple network slices using the minimum number of UAVs.https://ieeexplore.ieee.org/document/9975290/Aerial networksflying networksnetwork slicingquality of serviceunmanned aerial vehicles |
| spellingShingle | Andre Coelho Joao Rodrigues Helder Fontes Rui Campos Manuel Ricardo An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks IEEE Access Aerial networks flying networks network slicing quality of service unmanned aerial vehicles |
| title | An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks |
| title_full | An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks |
| title_fullStr | An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks |
| title_full_unstemmed | An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks |
| title_short | An Algorithm for Placing and Allocating Communications Resources Based on Slicing-Aware Flying Access and Backhaul Networks |
| title_sort | algorithm for placing and allocating communications resources based on slicing aware flying access and backhaul networks |
| topic | Aerial networks flying networks network slicing quality of service unmanned aerial vehicles |
| url | https://ieeexplore.ieee.org/document/9975290/ |
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