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Application of linear regression in latency estimation in packet-switched 5G xHaul networks
- Publication Year :
- 2023
-
Abstract
- In this work, we aim at investigating the applicability of machine learning (ML), namely, a linear regression (LR) model for estimation of flows latencies in packet-switched 5G xHaul networks. The analysis is performed in a network scenario in which the switches are connected using high-capacity fiber links.<br />The work was supported by National Science Centre, Poland under Grant No. 2018/31/B/ST7/03456. Moreover, it was also supported by the Spanish I+D+i project TRAINER-A (ref. PID2020-118011GB-C21), funded by MCIN/AEI/10.13039/501100011033.<br />Peer Reviewed<br />Postprint (author's final draft)
Details
- Database :
- OAIster
- Notes :
- 4 p., application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1427143307
- Document Type :
- Electronic Resource