[PDF][PDF] Contribution to the development of Wi-Fi networks through machine learning based prediction and classification techniques

SS Shaabanzadeh, J Sánchez-González - grcm.tsc.upc.edu
The growing number of Wi-Fi users and the emergence of bandwidth-intensive services
have necessitated an increase in Access Point (AP) density, resulting in more complex …

Predictive Wi-Fi Network Selection: Enhancing User Experience through a Machine Learning-based Approach

V Akash, SM Howale, AJ Gupta… - 2023 4th IEEE …, 2023 - ieeexplore.ieee.org
With the increasing use of Wi-Fi in our devices at home and in offices, etc. it's imperative to
connect to an AP which provides seamless and smooth performance. This research paper …

A spatio-temporal prediction methodology based on deep learning and real Wi-Fi measurements

SS Shaabanzadeh, J Sánchez-González - Computer Networks, 2024 - Elsevier
The rapid development of Wi-Fi technologies in recent years has caused a significant
increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements …

Context-aware prediction of access points demand in Wi-Fi networks

D Rodriguez-Lozano, JA Gomez-Pulido… - Computer Networks, 2017 - Elsevier
We present a methodology based on matrix factorization and gradient descent to predict the
number of sessions established in the access points of a Wi-Fi network according to the …

AI/ML-based Load Prediction in IEEE 802.11 Enterprise Networks

F Wilhelmi, D Salami, G Fontanesi… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Enterprise Wi-Fi networks can greatly benefit from Artificial Intelligence and Machine
Learning (AI/ML) thanks to their well-developed management and operation capabilities. At …

On the prediction of future user connections based on historical records in wireless networks

SS Shaabanzadeh, J Sánchez-González - … 2020 and 5G-PINE 2020, Neos …, 2020 - Springer
Recent developments of data monitoring and analytics technologies in the context of
wireless networks will boost the capacity to extract knowledge about the network and the …

A learning approach to Wi-Fi access

T Sandholm, BA Huberman - arXiv preprint arXiv:1811.09946, 2018 - arxiv.org
We show experimentally that workload-based AP-STA associations can improve system
throughput significantly. We present a predictive model that guides optimal resource …

AI-Powered Network Traffic Prediction

A Bolakhrif - 2021 - diva-portal.org
In this Internet and big data era, resource management has become a crucial task to ensure
the quality of service for users in modern wireless networks. Accurate and rapid Internet …

Mining historical data towards interference management in wireless sdns

M Karimi, P Krishnamurthy, J Joshi… - Proceedings of the 13th …, 2017 - dl.acm.org
WiFi networks often seek to reduce interference through network planning, macroscopic self-
organization (eg channel switching) or network management. In this paper, we explore the …

Towards Intelligent Network Management: Leveraging AI for Network Service Detection

KN Nguyen, A Sehgal, Y Zhu, J Choi, G Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
As the complexity and scale of modern computer networks continue to increase, there has
emerged an urgent need for precise traffic analysis, which plays a pivotal role in cutting …