| 1. |
- Amato, Elisabetta, et al.
(författare)
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A Resource Sharing Method for Reliable Slice as a Service Provisioning in 5G Metro Networks
- 2021
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Ingår i: 2021 25th Conference On Optical Network Design And Modelling, ONDM 2021. - 9783903176331 ; , s. 1-3
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Konferensbidrag (refereegranskat)abstract
- This paper proposes a dynamic slice provisioning analysis in a 5G metro network with reliability guarantees and possible sharing of backup resources. Performance of dedicated (DP) and shared (SP) protection solutions are evaluated with respect to slice resource allocation (i.e., bandwidth and processing units). The main results show a remarkable saving, in terms of slice acceptance rate, by applying SP solutions with respect to conventional DP ones.
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| 2. |
- Amato, Elisabetta, et al.
(författare)
-
Differentiated protection in 5G vehicular networks
- 2020
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Ingår i: 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020.
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Konferensbidrag (refereegranskat)abstract
- Automotive applications need high reliability and service continuity to support self-driving and safety in smart city environments. Suitable allocation of network functions is studied and optimal solutions based on Integer Linear Programming methodology are found. Differentiated reliability concept is applied in the presence of two different 5G classes of service, namely eMBB and URLLC. Saving of processing and bandwidth resources is numerically evaluated by combining service-based shared and dedicated protection in a reference scenario. Scalability aspects of the approach are also discussed.
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| 3. |
- Raffaelli, Carla, et al.
(författare)
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Reliable Slicing in Optical Metro Networks with Reconfigurable Backup Resources
- 2022
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Ingår i: 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022. ; , s. 863-866
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Konferensbidrag (refereegranskat)abstract
- Network slicing enables resource sharing in high capacity network infrastructures. To support network flexibility in relation to dynamic application scenarios, slice configuration needs changes over time to maintain optimization in resource usage and meet performance constraints. Emerging services like autonomous driving or industrial contexts require critical low latency and high reliability referred to in 5G context as the Ultra Reliable Low Latency Communications (URLLC) service. With reference to this class of services, this paper introduces a methodology to manage slice dynamics in network operation to maintain optimal resource assignment. Simulation results show how slice dynamics impact performance in the presence of different reliability schemes. In particular, the shared protection scheme is shown to perform remarkably better than the dedicated protection one and allows a viable approach to dynamic resource management.
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