Multi-operator connectivity sharing for reliable networks: a data-driven risk analysis
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Journal ArticleDate:
2021Access:
openAccessCitation:
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, 2021Download Item:
ieee-tnsm-si-2021.pdf (PDF) 3.489Mb
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.
Sponsor
Grant Number
Other
CCI Virginia, the US
Science Foundation Ireland (SFI)
17/NSFC/5224
Science Foundation Ireland (SFI)
13/RC/2077_P2
Author's Homepage:
http://people.tcd.ie/gomessaahttp://people.tcd.ie/afarhang
Description:
PUBLISHEDType of material:
Journal ArticleSeries/Report no:
IEEE Transactions on Network and Service ManagementAvailability:
Full text availableKeywords:
Network reliability, Network sharing, Multi-operator connectivity, Multi-connectivity, Risk analysisSubject (TCD):
TelecommunicationsDOI:
http://dx.doi.org/10.1109/TNSM.2021.3073841Licences: