Predictive Quality of Service in Cellular Networks: Challenges, Framework, and Application in Vehicular Communications
- Resource Type
- Periodical
- Authors
- Blasco, Ricardo; Ferrante, Guido Carlo; Watermann, Cara; Palaios, Alexandros
- Source
- IEEE Communications Magazine IEEE Commun. Mag. Communications Magazine, IEEE. 61(3):44-49 Mar, 2023
- Subject
- Power, Energy and Industry Applications
Signal Processing and Analysis
Computing and Processing
Communication, Networking and Broadcast Technologies
Quality of service
Uncertainty
Data collection
Predictive models
Cellular networks
Behavioral sciences
Radio access networks
- Language
- ISSN
- 0163-6804
1558-1896
Predictive quality of service will allow next-generation cellular networks to improve the management of the existing services and support more demanding use cases. In this article, we discuss the main challenges on the way to practical realizations of predictive quality of service, from fundamental considerations related to prediction horizons and handling uncertainty to practical aspects on data collection and implications of the architectural choice. We also present a general methodology for predictive quality of service that addresses some of the main challenges and may be used to realize predictive quality of service at scale. As a case study, we apply the framework to a vehicular communications setting using a data-set acquired from a deployed private LTE network.