Resource Demand Prediction for Network Slices in 5G using ML Enhanced with Network Models
LA Garrido, A Dalgkitsis, K Ramantas… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The new technologies introduced by 5G, such as network slicing, will improve the
capabilities of Vehicle-to-Vehicle (V2V) communications, enabling the introduction of a new …
capabilities of Vehicle-to-Vehicle (V2V) communications, enabling the introduction of a new …
[HTML][HTML] Optimizing cell selection for data services in mm-waves spectrum through enhanced extreme gradient boosting
This paper proposes a supervised learning based cell selection/reselection prediction
technique incorporating ensembles, and is reinforced by readily available lasso and ridge …
technique incorporating ensembles, and is reinforced by readily available lasso and ridge …
Performance evaluation of conditional handover in 5G systems under fading scenario
To enhance the handover performance in fifth generation (5G) cellular systems, conditional
handover (CHO) has been evolved as a promising solution. Unlike A3 based handover …
handover (CHO) has been evolved as a promising solution. Unlike A3 based handover …
Precipitated Handover Decision Detection in LTE Networks Through Recurrent Neural Networks
RKG Reis, JJA Arnez, CBB De Souza… - 2023 IEEE Latin …, 2023 - ieeexplore.ieee.org
The handover decision algorithms based on the Reference Signal Received Power (RSRP)
are sensitive to measurement errors and oscillation of the user's geographic position …
are sensitive to measurement errors and oscillation of the user's geographic position …
Detecção de decisões precipitadas de Handover em Redes LTE utilizando Redes Neurais Recorrentes
RKG Reis - 2023 - riu.ufam.edu.br
The handover decision algorithms based on the Received Reference Signal Power (RSRP)
are sensitive to measurement errors and oscillation of the user's geographic position …
are sensitive to measurement errors and oscillation of the user's geographic position …