Machine learning-enabled data rate prediction for 5G NSA vehicle-to-cloud communications

B Sliwa, H Schippers, C Wietfeld - 2021 IEEE 4th 5G World …, 2021 - ieeexplore.ieee.org
In order to satisfy the ever-growing Quality of Service (QoS) requirements of innovative
services, cellular communication networks are constantly evolving. Recently, the 5G Non …

[PDF][PDF] Guest editorial special issue on advances in artificial intelligence and machine learning for networking

P Chemouil, P Hui, W Kellerer, N Limam… - IEEE Journal on …, 2020 - researchgate.net
I. INTRODUCTION ARTIFICIAL Intelligence (AI) and Machine Learn-ing (ML) approaches
have emerged in the networking domain with great expectation. They can be broadly …

MABASR—a robust wireless interface selection policy for heterogeneous vehicular networks

G Nikolov, M Kuhn, A Mcgibney, BL Wenning - IEEE Access, 2022 - ieeexplore.ieee.org
Connectivity is rapidly becoming a core feature of modern vehicles to enable the provision of
intelligent services that promote safer transport networks, real-time traffic infotainment …

Online learning under resource constraints

RS Villaça, R Stadler - 2021 IFIP/IEEE International Symposium …, 2021 - ieeexplore.ieee.org
Data-driven functions for network operation and management are based upon AI/ML
methods whose models are usually trained offline with measurement data collected through …

Cellular interface selection in multi-homed vehicular onboard gateways

BL Wenning - 2022 IEEE 27th International Conference on …, 2022 - ieeexplore.ieee.org
Modern vehicles and transportation systems are becoming more and more reliant on
connectivity for safety applications, remote asset monitoring, on-board infotainment, and …

AI-Enhanced Connection Management for Cellular Networks

BL Wenning - Intelligent Secure Trustable Things, 2024 - Springer
Cellular networks such as 4G, 5G and beyond are essential components of current and
future communication infrastructure. Current research topics such as smart mobility …

Optimal Route Selection Decision‐Making Based on Intelligent Network

M Zhao, Z Zhang - Journal of Mathematics, 2021 - Wiley Online Library
Modern intelligent network provides a lot of convenience for the development of the society,
especially for some practical NP‐hard optimal problems. In this paper, we study a game …

Comparative Analysis of LSTM and GRU for Uplink Data Rate Prediction in 5G Networks

PSS Markappa, BL Wenning - … Conference on Applied Soft Computing and …, 2023 - Springer
This paper presents investigations on uplink data rate prediction in 5G Non-Standalone
(NSA) networks using 4G and 5G parameters that are available from the modem, with a use …

Reduced complexity approach for uplink rate trajectory prediction in mobile networks

G Nikolov, M Kuhn, A McGibney… - 2020 31st Irish Signals …, 2020 - ieeexplore.ieee.org
This paper presents a novel data rate prediction scheme. By combining online data rate
estimation techniques with Long Short-Term Memory (LSTM) Neural Networks (NN), we are …

Integracja bezprzewodowych heterogenicznych sieci IP dla poprawy efektywności transmisji danych na morzu

M Hoeft - 2023 - mostwiedzy.pl
Wraz ze wzrostem istotności środowiska morskiego w naszym codziennym życiu np. w
postaci zwiększonego wolumenu transportu realizowanego drogą morską. czy …