dc.contributor.author | Gomes Santos Gonçalves, André Vinícius | en |
dc.contributor.author | Farhang, Arman | en |
dc.date.accessioned | 2021-04-27T09:21:48Z | |
dc.date.available | 2021-04-27T09:21:48Z | |
dc.date.issued | 2021 | en |
dc.date.submitted | 2021 | en |
dc.identifier.citation | André Gomes; Jacek Kibilda; Arman Farhang; Ronan Farrell, Multi-operator connectivity sharing for reliable networks: a data-driven risk analysis, IEEE Transactions on Network and Service Management, 2021 | en |
dc.identifier.other | Y | en |
dc.identifier.uri | http://hdl.handle.net/2262/96153 | |
dc.description | PUBLISHED | en |
dc.description.abstract | A key distinction between today’s and future networks is the appetite for reliable communication to support emerging critical-communication services. In this paper, we study multi-operator connectivity as a form of redundancy to support the design of reliable networks and investigate its trade-offs. This approach is motivated by 3GPP standardisation initiatives of and similar techniques in industrial wired networks. We deploy a risk awareness performance metric to assess reliability: this superquantile metric accounts for periods of connectivity shortfalls. Our analysis shows that multi-operator connectivity brings significant reliability gains, in particular when network deployments by different operators exhibit high complementarity in coverage. We also explore the effects of multi-connectivity on spectral efficiency in times of high demand for bandwidth. Our study is based on a real-world dataset comprising signal strength indicators of three mobile operators in Dublin, Ireland. | en |
dc.language.iso | en | en |
dc.relation.ispartofseries | IEEE Transactions on Network and Service Management | en |
dc.rights | Y | en |
dc.subject | Network reliability | en |
dc.subject | Network sharing | en |
dc.subject | Multi-operator connectivity | en |
dc.subject | Multi-connectivity | en |
dc.subject | Risk analysis | en |
dc.title | Multi-operator connectivity sharing for reliable networks: a data-driven risk analysis | en |
dc.type | Journal Article | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/gomessaa | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/afarhang | en |
dc.identifier.rssinternalid | 228177 | en |
dc.identifier.doi | http://dx.doi.org/10.1109/TNSM.2021.3073841 | en |
dc.rights.ecaccessrights | openAccess | |
dc.subject.TCDTheme | Telecommunications | en |
dc.status.accessible | N | en |
dc.contributor.sponsor | Other | en |
dc.contributor.sponsorGrantNumber | CCI Virginia, the US | en |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.contributor.sponsorGrantNumber | 17/NSFC/5224 | en |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.contributor.sponsorGrantNumber | 13/RC/2077_P2 | en |