RT Conference Proceedings
T1 Reparto de tráfico en redes 5G con segmentación.
A1 Gijón-Martín, Carolina
A1 Mahmoodi, Toktam
A1 Toril-Genovés, Matías
A1 Luna-Ramírez, Salvador
A1 Bejarano-Luque, Juan Luis
K1 Sistemas de comunicaciones inalámbricos
K1 Redes de banda ancha
AB In 5G and beyond wireless systems, Network Slicing (NS) feature will enable the coexistence of extremely different services. In sliced Radio Access Networks (RANs), an optimal traffic sharing among cells is key to guarantee Service Level Agreement (SLA) compliance while minimizing operation costs. The configuration of network functions leading to that optimal point may depend on the slice, claiming for slice-aware traffic steering strategies. This work presents the first data-driven algorithm for slice-aware traffic steering by tuning handover margins. The tuning process is driven by a novel indicator showing the imbalance of SLA compliance among neighbor cells per slice. Performance assessment is carried out with a system-level simulator implementing a realistic sliced RAN offering services with different throughput, latency and reliability requirements. Results show that the proposed algorithm improves the overall SLA compliance by 9% in only 15 minutes of network activity compared to the case of not steering traffic, outperforming a legacy mobility load balancing approach
YR 2023
FD 2023
LK https://hdl.handle.net/10630/27593
UL https://hdl.handle.net/10630/27593
LA spa
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026