AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

A survey of machine learning techniques applied to self-organizing cellular networks

PV Klaine, MA Imran, O Onireti… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …

A survey on handover management: From LTE to NR

M Tayyab, X Gelabert, R Jäntti - IEEE Access, 2019 - ieeexplore.ieee.org
To satisfy the high data demands in future cellular networks, an ultra-densification approach
is introduced to shrink the coverage of base station (BS) and improve the frequency reuse …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

From 4G to 5G: Self-organized network management meets machine learning

J Moysen, L Giupponi - Computer Communications, 2018 - Elsevier
Self-organization as applied to cellular networks is usually referred to Selforganizing
Networks (SONs), and it is a key driver for improving Operations, Administration, and …

Machine learning at the edge: A data-driven architecture with applications to 5G cellular networks

M Polese, R Jana, V Kounev, K Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy
the ultra-low latency demand of future applications. In this paper, we argue that such …

Target Tracking Area Selection and Handover Security in Cellular Networks: A Machine Learning Approach

VO Nyangaresi - Proceedings of Third International Conference on …, 2023 - Springer
Abstract The 3rd Generation Partnership Project (3GPP) has specified the 5G Authentication
and Key Agreement (5G AKA) protocol for handover authentication. However, this protocol is …

Efficient handover protocol for 5G and beyond networks

VO Nyangaresi, AJ Rodrigues - Computers & Security, 2022 - Elsevier
The fifth generation (5G) and beyond 5G (B5G) networks offer ultra-low latencies, higher
reliability, scalability, data rates and capacities to support applications such as vehicular …

Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions

SMA Zaidi, M Manalastas, H Farooq, A Imran - IEEE Access, 2020 - ieeexplore.ieee.org
The exponential rise in mobile traffic originating from mobile devices highlights the need for
making mobility management in future networks even more efficient and seamless than ever …

Towards energy-efficient wireless networking in the big data era: A survey

X Cao, L Liu, Y Cheng, X Shen - … Communications Surveys & …, 2017 - ieeexplore.ieee.org
With the proliferation of wireless devices, wireless networks in various forms have become
global information infrastructure and an important part of our daily life, which, at the same …