[HTML][HTML] Proactive Self-Healing Approaches in Mobile Edge Computing: A Systematic Literature Review

O Adeniyi, AS Sadiq, P Pillai, MA Taheir, O Kaiwartya - Computers, 2023 - mdpi.com
The widespread use of technology has made communication technology an indispensable
part of daily life. However, the present cloud infrastructure is insufficient to meet the …

Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction

D Wang, A Qiu, S Partani, Q Zhou… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
In 5G wireless communication, Intelligent Transportation Systems (ITS) and automobile
applications, such as autonomous driving, are widely examined. These applications have …

Mobility Prediction in Cellular Networks: A Survey

N Rajule, M Venkatesan, R Menon… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
Now days cellular users are expecting seamless connectivity and better quality of
experience from service providers. In cellular networks, user mobility is crucial since it raises …

The Impact of the Spatial Sampling Resolution on the Prediction of Vehicular Mobility

R Ferreira, M Luís, R Oliveira - 2022 International Wireless …, 2022 - ieeexplore.ieee.org
This work characterizes the influence of different spatial sampling resolutions on the
prediction of vehicular mobility. By assuming different spatial quantization areas over a …

[PDF][PDF] Predicting Transport Mode in the Rabat Region: A Machine Learning Approach

K Qbouche, K Rhoulami - … homepage: http://iieta. org/journals/isi, 2024 - researchgate.net
The continuous increase in population density and the increase in average travel of people
by different modes of transportation, whether public or private, play a crucial part in how the …