Forecasting network traffic: A survey and tutorial with open-source comparative evaluation

GO Ferreira, C Ravazzi, F Dabbene… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

Mobile network coverage prediction based on supervised machine learning algorithms

MFA Fauzi, R Nordin, NF Abdullah… - Ieee Access, 2022 - ieeexplore.ieee.org
The need for wider coverage and high-performance quality of mobile networks is critical due
to the maturity of Internet penetration in today's society. One of the primary drivers of this …

Downlink throughput prediction using machine learning models on 4G-LTE networks

A Al-Thaedan, Z Shakir, AY Mjhool, R Alsabah… - International Journal of …, 2023 - Springer
With the enormous evolution of the smartphone, especially with the appearance of the fourth
generation (4G) cellular networks, the demand for high-speed data rate, low latency, and …

Ccpav: Centralized cooperative perception for autonomous vehicles using cv2x

B Hakim, S Sorour, MS Hefeida, WS Alasmary… - Ad Hoc Networks, 2023 - Elsevier
Cooperative perception improves awareness for various traffic situations by connecting
autonomous vehicles to each other as well as to the surrounding environment. Overcoming …

A machine learning framework for predicting downlink throughput in 4G-LTE/5G cellular networks

A Al-Thaedan, Z Shakir, AY Mjhool, R Alsabah… - International Journal of …, 2024 - Springer
The current and next generations of cellular networks produce a massive amount of data.
With this vast parameter increase, cellular communication networks have grown incredibly …

Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks

M Di Mauro, G Galatro, F Postiglione… - … on Network and …, 2023 - ieeexplore.ieee.org
Predicting the behavior of real-time traffic (eg, VoIP) in mobility scenarios could help the
operators to better plan their network infrastructures and to optimize the allocation of …

Deep learning-based forecasting of cellular network utilization at millisecond resolutions

AM Nagib, H Abou-Zeid, HS Hassanein… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The ability to accurately forecast network resource utilization is vital in next-generation
wireless networks. Based on the predicted load, telecom operators can proactively allocate …

Downlink throughput prediction in LTE cellular networks using time series forecasting

A Mostafa, MA Elattar, T Ismail - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Long-Term Evolution (LTE) cellular networks have transformed the mobile business, as
users increasingly require various network services such as video streaming, online gaming …

Data-Driven Network Latency Processing for Auxiliary Services in Virtual Power Plant

C Liu, J Tao, Y Liu, X Wang, W Peng - Electronics, 2023 - mdpi.com
Nowadays, with the increasingly prominent contradiction between environment and
development, renewable energy technology has received extensive attention. However, due …

xApp for traffic steering and load balancing in the O-RAN architecture

R Ntassah, GM Dell'Aera… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Traffic steering is an essential aspect of the radio access network (RAN). The O-RAN
Alliance architectural framework provides an environment for intelligent traffic steering using …