Projecte ofert
Títol: Path Computation Engine for Next-Generation 6G Networks
Per assignar-vos el projecte us heu de dirigir al director/a perquè us l'assigni.
Director/a: SPADARO, SALVATORE
Departament: TSC
Títol: Path Computation Engine for Next-Generation 6G Networks
Data inici oferta: 06-07-2026 Data finalització oferta: 06-03-2027
Estudis d'assignació del projecte:
MU AI4CI- MU EM CODAS 1
- MU EM CODAS 2
- MU MASTEAM 2015
| Tipus: Individual | |
| Lloc de realització: EETAC | |
| Paraules clau: | |
| Descripció del contingut i pla d'activitats: | |
| Emerging network paradigms such as 5G/6G, Network Slicing, and Deterministic Networking (DetNet) require strict, long-run reliability guarantees, commonly referred to as Service Level Objectives (SLOs). Critical applications (e.g., industrial automation, autonomous driving) demand that key performance indicators-such as latency and packet loss-remain within strict statistical thresholds over prolonged time windows. Traditional path computation elements and routing protocols typically rely on static parameters or instantaneous maximum bounds to determine optimal paths. Consequently, these systems lack the capability to interpret time-varying, statistical telemetry data. This limitation often leads to sub-optimal routing decisions when links experience intermittent performance degradation.
To address this challenge, this thesis focuses on the design and evaluation of a path computation engine that integrates precision availability metrics. By leveraging historical performance data and statistical violation ratios, the proposed routing mechanism aims to proactively steer traffic through paths that guarantee long-term stability and compliance with strict SLOs. The Thesis will be co-supervised with Telefonica, in the framework of a research collaboration between UPC and Telefonica. Main objectives: 1. Analyze existing state-of-the-art mechanisms for traffic engineering, network telemetry, and path computation architectures in sliced networks. 2. Design a path selection algorithm (e.g., heuristic, graph-based, or optimization-driven) capable of processing time-series reliability data and statistical thresholds. 3. Model a realistic network topology and generate synthetic or trace-based datasets representing fluctuating link performance over time. 4. Performance Evaluation: Quantify the efficacy of the proposed reliability-aware routing mechanism against conventional shortest-path and bound-based routing approaches. |
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| Orientació a l'estudiant: | |
| Basic knowledge of routing/patch computation, 5G networks and systems. | |
| Requereix activitats hardware: No | |
| Horari d'atenció a estudiants per a l'assignació de projecte: |
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