2026-05-30T01:31:39Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/275932026-02-03T12:09:14Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Gijón-Martín, Carolina
author
Mahmoodi, Toktam
author
Toril-Genovés, Matías
author
Luna-Ramírez, Salvador
author
Bejarano-Luque, Juan Luis
2023-09-20T06:56:06Z
2023-09-20T06:56:06Z
2023
https://hdl.handle.net/10630/27593
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
spa
Sistemas de comunicaciones inalámbricos
Redes de banda ancha
Reparto de tráfico en redes 5G con segmentación.
conference output
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URL
https://riuma.uma.es/bitstreams/1ac92b99-6aad-43ab-9cd7-bbd984c433c7/download
File
MD5
29d08710f181a1d380fb45d66f027126
10966
application/pdf
cgm_riuma.pdf