Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation
Over the years, mobile networks have grown exponentially due to rising demand. These networks mix different types of cells, which makes manual configuration difficult, costly and tedious. Furthermore, inefficiencies stemming from these problems can cause problems in Handover performance, since a mob...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9062522/ |
| _version_ | 1818566810462584832 |
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| author | Paulo M. Pina Andre F. Godinho Daniel F. S. Fernandes Diogo J. A. Clemente Pedro Sebastiao Gabriela E. Soares Lucio S. Ferreira |
| author_facet | Paulo M. Pina Andre F. Godinho Daniel F. S. Fernandes Diogo J. A. Clemente Pedro Sebastiao Gabriela E. Soares Lucio S. Ferreira |
| author_sort | Paulo M. Pina |
| collection | DOAJ |
| description | Over the years, mobile networks have grown exponentially due to rising demand. These networks mix different types of cells, which makes manual configuration difficult, costly and tedious. Furthermore, inefficiencies stemming from these problems can cause problems in Handover performance, since a mobile device may not always connect to the optimal cell upon switching from one to the other, potentially harming service quality and increasing Operational Costs (OPEX). Existing solutions, like Automatic Neighbour Relations (ANR), while they are valuable in estimating the best neighbouring cells through the rate of successful Handovers, fail to take into account topological coverage factors and fictional cells, therefore inefficiencies lie hidden and it isn't suited to calculate relations between planned cells and active cells. In this article, a proposal of a cloud-based, on-demand automatic coverage based neighbour estimation system is proposed, which utilises topological signal coverage data from each cell provided by the network's operations support system, in order to mitigate the aforementioned issues and provide a reliable and convenient coverage analysis paradigm. |
| first_indexed | 2024-12-14T01:58:23Z |
| format | Article |
| id | doaj.art-3acf5822945d4ca1a27228edf652922d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T01:58:23Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3acf5822945d4ca1a27228edf652922d2022-12-21T23:21:07ZengIEEEIEEE Access2169-35362020-01-018696716968210.1109/ACCESS.2020.29867559062522Automatic Coverage Based Neighbour Estimation System: A Cloud-Based ImplementationPaulo M. Pina0https://orcid.org/0000-0002-9499-0572Andre F. Godinho1https://orcid.org/0000-0002-1212-6597Daniel F. S. Fernandes2https://orcid.org/0000-0002-1356-9349Diogo J. A. Clemente3https://orcid.org/0000-0003-3979-9086Pedro Sebastiao4Gabriela E. Soares5Lucio S. Ferreira6ISCTE-Instituto Universitário de Lisboa/IT–Instituto de Telecomunicações, Lisbon, PortugalISCTE-Instituto Universitário de Lisboa/IT–Instituto de Telecomunicações, Lisbon, PortugalISCTE-Instituto Universitário de Lisboa/IT–Instituto de Telecomunicações, Lisbon, PortugalISCTE-Instituto Universitário de Lisboa/IT–Instituto de Telecomunicações, Lisbon, PortugalISCTE-Instituto Universitário de Lisboa/IT–Instituto de Telecomunicações, Lisbon, PortugalMultivision - Consultoria, Lisbon, PortugalMultivision - Consultoria, Lisbon, PortugalOver the years, mobile networks have grown exponentially due to rising demand. These networks mix different types of cells, which makes manual configuration difficult, costly and tedious. Furthermore, inefficiencies stemming from these problems can cause problems in Handover performance, since a mobile device may not always connect to the optimal cell upon switching from one to the other, potentially harming service quality and increasing Operational Costs (OPEX). Existing solutions, like Automatic Neighbour Relations (ANR), while they are valuable in estimating the best neighbouring cells through the rate of successful Handovers, fail to take into account topological coverage factors and fictional cells, therefore inefficiencies lie hidden and it isn't suited to calculate relations between planned cells and active cells. In this article, a proposal of a cloud-based, on-demand automatic coverage based neighbour estimation system is proposed, which utilises topological signal coverage data from each cell provided by the network's operations support system, in order to mitigate the aforementioned issues and provide a reliable and convenient coverage analysis paradigm.https://ieeexplore.ieee.org/document/9062522/cloud computingself-organising networksself-optimisingself-configurationneighbour relationstelecommunications |
| spellingShingle | Paulo M. Pina Andre F. Godinho Daniel F. S. Fernandes Diogo J. A. Clemente Pedro Sebastiao Gabriela E. Soares Lucio S. Ferreira Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation IEEE Access cloud computing self-organising networks self-optimising self-configuration neighbour relations telecommunications |
| title | Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation |
| title_full | Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation |
| title_fullStr | Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation |
| title_full_unstemmed | Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation |
| title_short | Automatic Coverage Based Neighbour Estimation System: A Cloud-Based Implementation |
| title_sort | automatic coverage based neighbour estimation system a cloud based implementation |
| topic | cloud computing self-organising networks self-optimising self-configuration neighbour relations telecommunications |
| url | https://ieeexplore.ieee.org/document/9062522/ |
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