Evaluation of Mobile Network Slicing in a Logistics Distribution Center
David Segura, Emil J. Khatib, Raquel Barco

TL;DR
This paper evaluates static and dynamic 5G network slicing strategies in a logistics distribution center, demonstrating that dynamic slicing significantly improves resource efficiency and service quality under varying traffic conditions.
Contribution
It introduces a simulation-based analysis comparing static and dynamic 5G network slicing in a realistic logistics scenario, highlighting the advantages of dynamic slicing.
Findings
Dynamic slicing improves network resource utilization.
Service quality is enhanced even during traffic peaks.
Efficiency gains range from 6.48% to 95.65%.
Abstract
Logistics is a key economic sector where any optimization that reduces costs or improves service has a great impact on society at large. In this paper, the role of two 5G Network Slicing (NS) strategies in Smart Logistics is studied: the use of a static slice with a balance division of network resources and the use of a dynamic slice. To validate the potential gains of these strategies, a Distribution Center with 5G connectivity is simulated, recreating the activity that takes place in a real Smart Logistics scenario. Results show that a dynamic slice makes a more efficient usage of the network resources, improving the quality of service for the different traffic profiles, even when there is a traffic peak. This improvement ranges from 6.48\% to 95.65\%, depending on the specific traffic profile and the evaluated metric.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoftware-Defined Networks and 5G · IoT and Edge/Fog Computing · Network Security and Intrusion Detection
