Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions
The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …
Decision-making under uncertainty for the deployment of future hyperconnected networks: A survey
N Alzate-Mejia, G Santos-Boada… - Sensors, 2021 - mdpi.com
Among the several emerging dimensioning, control and deployment of future
communication network paradigms stands out the human-centric characteristic that creates …
communication network paradigms stands out the human-centric characteristic that creates …
[HTML][HTML] Learning-powered migration of social digital twins at the network edge
Abstract Digital Twins (DTs), which are paired to Internet of Things (IoT) devices to represent
them and augment their capabilities, are gaining ground as a promising technology to …
them and augment their capabilities, are gaining ground as a promising technology to …
Deep Learning-based Fingerprinting for Outdoor UE Positioning Utilising Spatially Correlated RSSs of 5G Networks
A Al-Tahmeesschi, J Talvitie… - … on Localization and …, 2022 - ieeexplore.ieee.org
Outdoor user equipment (DE) localisation has attracted a significant amount of attention due
to its importance in many location-based services. Typically, in rural and open areas, global …
to its importance in many location-based services. Typically, in rural and open areas, global …
Multiagent Q-Learning-Based Mobility Management for Multi-Connectivity in mmWAVE Cellular Systems
SA Ryu, DK Kim - Sensors, 2023 - mdpi.com
Effective mobility management is crucial for efficient operation of next-generation cellular
systems in the millimeter wave (mmWave) band. Massive multiple-input–multiple-output …
systems in the millimeter wave (mmWave) band. Massive multiple-input–multiple-output …
Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic
A Al-Tahmeesschi, J Talvitie, M López-Benítez… - arXiv preprint arXiv …, 2024 - arxiv.org
Millimeter-wave (mmWave) is a key enabler for next-generation transportation systems.
However, in an urban city scenario, mmWave is highly susceptible to blockages and …
However, in an urban city scenario, mmWave is highly susceptible to blockages and …
Supervised Learning Technique for First Order Multipaths Identification of V2V Scenario
In geometrical localization techniques, the propagated signal's first-order multipath (FOMP)
characteristics are used to calculate the location based on geometrical relationships …
characteristics are used to calculate the location based on geometrical relationships …
From Compression of Wearable-based Data to Effortless Indoor Positioning
L Klus - 2023 - trepo.tuni.fi
In recent years, wearable devices have become ever-present in modern society. They are
typically defined as small, battery-restricted devices, worn on, in, or in very close proximity to …
typically defined as small, battery-restricted devices, worn on, in, or in very close proximity to …