TY - GEN
T1 - NexSlice
T2 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2025
AU - Brahmi, Abdenour Yasser
AU - Aba, Massinissa Ait
AU - Bouasker, Hadil
AU - Jouaber, Badii
AU - Castel-Taleb, Hind
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 5G and beyond networks aim to support heterogeneous services with strict QoS and isolation requirements. Network slicing addresses these challenges by creating multiple virtual networks over shared infrastructure, each tailored for specific service types. However, despite its potential, the lack of practical, open, and reproducible testbeds for 5G slicing remains a major barrier to experimentation and adoption. In this demo, we present NexSlice, an open-source, Kubernetes-Native testbed that enables the deployment and orchestration of 5G core network slices using open-source components like OpenAirInterface (OAI) and UERANSIM. Our platform supports SST-based slicing, integrates different Radio Access Networks (RANs), enables auto-scaling of user plane functions, and provides real-time monitoring with Prometheus and Grafana. NexSlice aims to bridge the gap between theoretical slicing frameworks and practical, reproducible experimentation, paving the way toward adaptive and automated slice management in future 6G networks.
AB - 5G and beyond networks aim to support heterogeneous services with strict QoS and isolation requirements. Network slicing addresses these challenges by creating multiple virtual networks over shared infrastructure, each tailored for specific service types. However, despite its potential, the lack of practical, open, and reproducible testbeds for 5G slicing remains a major barrier to experimentation and adoption. In this demo, we present NexSlice, an open-source, Kubernetes-Native testbed that enables the deployment and orchestration of 5G core network slices using open-source components like OpenAirInterface (OAI) and UERANSIM. Our platform supports SST-based slicing, integrates different Radio Access Networks (RANs), enables auto-scaling of user plane functions, and provides real-time monitoring with Prometheus and Grafana. NexSlice aims to bridge the gap between theoretical slicing frameworks and practical, reproducible experimentation, paving the way toward adaptive and automated slice management in future 6G networks.
KW - 5G
KW - Kubernetes
KW - Network Slicing
KW - OAI
KW - UER-ANSIM
UR - https://www.scopus.com/pages/publications/105032535115
U2 - 10.1109/MSWiM67937.2025.11308976
DO - 10.1109/MSWiM67937.2025.11308976
M3 - Conference contribution
AN - SCOPUS:105032535115
T3 - MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
SP - 811
EP - 814
BT - MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 October 2025 through 31 October 2025
ER -