Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis
dc.contributor.author | Gomes, Andre | en |
dc.contributor.author | Kibilda, Jacek | en |
dc.contributor.author | Farhang, Arman | en |
dc.contributor.author | Farrell, Ronan | en |
dc.contributor.author | DaSilva, Luiz A. | en |
dc.date.accessioned | 2022-01-04T19:41:59Z | en |
dc.date.available | 2022-01-04T19:41:59Z | en |
dc.date.issued | 2021-09-01 | en |
dc.date.updated | 2022-01-04T19:41:57Z | 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 dual-connectivity 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.description.version | Accepted version | en |
dc.format.extent | Pages 2800-2811 | en |
dc.format.extent | 12 page(s) | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1109/TNSM.2021.3073841 | en |
dc.identifier.eissn | 1932-4537 | en |
dc.identifier.issn | 1932-4537 | en |
dc.identifier.issue | 3 | en |
dc.identifier.uri | http://hdl.handle.net/10919/107355 | en |
dc.identifier.volume | 18 | en |
dc.language.iso | en | en |
dc.publisher | IEEE | en |
dc.relation.uri | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000695455900027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1 | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Technology | en |
dc.subject | Computer Science, Information Systems | en |
dc.subject | Computer Science | en |
dc.subject | Reliability | en |
dc.subject | Redundancy | en |
dc.subject | Protocols | en |
dc.subject | Measurement | en |
dc.subject | Antenna measurements | en |
dc.subject | 3GPP | en |
dc.subject | Synchronization | 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.subject | LOW LATENCY COMMUNICATIONS | en |
dc.subject | ACCESS | en |
dc.subject | Networking & Telecommunications | en |
dc.subject | 0805 Distributed Computing | en |
dc.subject | 0906 Electrical and Electronic Engineering | en |
dc.subject | 1005 Communications Technologies | en |
dc.title | Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis | en |
dc.title.serial | IEEE Transactions on Network and Service Management | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.other | Article | en |
dc.type.other | Journal | en |
pubs.organisational-group | /Virginia Tech | en |
pubs.organisational-group | /Virginia Tech/University Research Institutes | en |
pubs.organisational-group | /Virginia Tech/All T&R Faculty | en |
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