Characterizing RNTI Allocation and Management in Mobile Networks

Author:

Attanasio Giulia1,Fiandrino Claudio2,Fiore Marco2,Widmer Joerg2

Affiliation:

1. IMDEA Networks Institute & University Carlos III, Madrid, Spain

2. IMDEA Networks Institute, Madrid, Spain

Funder

Atracción de Talento Investigador

Juan de la Cierva grant from the Spanish Ministry of Science and Innovation

TAPIR-CM program

Publisher

ACM

Reference26 articles.

1. Improving Traffic Forecasting for 5G Core Network Scalability: A Machine Learning Approach

2. DeepCog: Optimizing Resource Provisioning in Network Slicing With AI-Based Capacity Forecasting;Bega D.;IEEE JSAC,2020

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1. In-depth study of RNTI management in mobile networks: Allocation strategies and implications on data trace analysis;Computer Networks;2022-12

2. Characterizing Location Management Function Performance in 5G Core Networks;2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN);2022-11-14

3. Experimenting with localization management functions in 5G core networks;Proceedings of the 28th Annual International Conference on Mobile Computing And Networking;2022-10-14

4. Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions;IEEE Transactions on Mobile Computing;2022

5. In-Depth Study of Rnti Management in Mobile Networks: Allocation Strategies and Implications on Data Trace Analysis;SSRN Electronic Journal;2022

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