About this document
Mobile Bandwidth & Handoff Predictions in 5G by Prachi patro is a document available to read on EtoBox.
This paper investigates real-time mobile bandwidth and handoff predictions in 4G/5G networks, addressing the challenges posed by user mobility and time-varying bandwidth. Using Recurrent Neural Network models, the authors demonstrate improved accuracy in predicting bandwidth and handoffs compared to conventional methods, achieving over 80% accuracy in handoff predictions. The study emphasizes the importance of accurate predictions for enhancing user Quality-of-Experience in mobile applications, particularly
- Author
- Prachi patro
- Language
- EN