Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview

N Singh, S Choe, R Punmiya - IEEE access, 2021 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Key challenges, drivers and solutions for mobility management in 5G networks: A survey

I Shayea, M Ergen, MH Azmi, SA Çolak, R Nordin… - IEEE …, 2020 - ieeexplore.ieee.org
Ensuring a seamless connection during the mobility of various User Equipments (UEs) will
be one of the major challenges facing the practical implementation of the Fifth Generation …

Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G

SH Alsamhi, AV Shvetsov, A Hawbani… - Future Generation …, 2023 - Elsevier
With the expansion of intelligent services and applications powered by Artificial Intelligence
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

[HTML][HTML] Aggregation-based dynamic channel bonding to maximise the performance of wireless local area networks (WLAN)

V Parashar, R Kashyap, A Rizwan, DA Karras… - … and Mobile Computing, 2022 - hindawi.com
Channel bonding is considered by the IEEE 802.11 ac amendment to improve wireless local
area network (WLAN) performance. In this article, the channel bonding and aggregation …

A survey on deep learning for challenged networks: Applications and trends

K Bochie, MS Gilbert, L Gantert, MSM Barbosa… - Journal of Network and …, 2021 - Elsevier
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …

[HTML][HTML] The role of artificial intelligence driven 5G networks in COVID-19 outbreak: Opportunities, challenges, and future outlook

AI Abubakar, KG Omeke, M Ozturk… - Frontiers in …, 2020 - frontiersin.org
There is no doubt that the world is currently experiencing a global pandemic that is
reshaping our daily lives as well as the way business activities are being conducted. With …

A comprehensive survey on resource allocation strategies in fog/cloud environments

J Vergara, J Botero, L Fletscher - Sensors, 2023 - mdpi.com
The growing number of connected objects has allowed the development of new applications
in different areas. In addition, the technologies that support these applications, such as cloud …

GNN-based hierarchical deep reinforcement learning for NFV-oriented online resource orchestration in elastic optical DCIs

B Li, Z Zhu - Journal of Lightwave Technology, 2022 - opg.optica.org
Network function virtualization (NFV) in elastic optical datacenter interconnections (EO-
DCIs) enables flexible and timely deployment of network services. However, as the service …