Mobility management in 5G-enabled vehicular networks: Models, protocols, and classification

N Aljeri, A Boukerche - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past few years, the next generation of vehicular networks is envisioned to play an
essential part in autonomous driving, traffic management, and infotainment applications. The …

Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning

D Guo, L Tang, X Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study the handover (HO), and power allocation problem in a two-tier
heterogeneous network (HetNet), which consists of a macro base station, and some …

A survey on the handover management in 5G-NR cellular networks: aspects, approaches and challenges

A Haghrah, MP Abdollahi, H Azarhava… - EURASIP Journal on …, 2023 - Springer
With the purpose of providing higher data rate and ultra-reliable and low-latency
communications for the users, employing the small cells in the upcoming Fifth-Generation …

Beam management in ultra-dense mmWave network via federated reinforcement learning: An intelligent and secure approach

Q Xue, YJ Liu, Y Sun, J Wang, L Yan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a
promising way to address the tremendous growth on mobile data traffic. However, one key …

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 …

Handover management for mmWave networks with proactive performance prediction using camera images and deep reinforcement learning

Y Koda, K Nakashima, K Yamamoto… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
For millimeter-wave networks, this paper presents a paradigm shift for leveraging time-
consecutive camera images in handover decision problems. While making handover …

Self-adapting handover parameters optimization for SDN-enabled UDN

W Huang, M Wu, Z Yang, K Sun… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Increasing the deployment density of small base stations (SBS) is a key method designed to
satisfy high data traffic in 5th generation mobile network (5G). However, a large number of …

Movement aware CoMP handover in heterogeneous ultra-dense networks

W Sun, L Wang, J Liu, N Kato… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The densification of base station (BS) deployments is driving the evolution of network
structures towards heterogeneous ultra-dense networks (UDN), making coordinated …

Beam-based mobility management in 5G millimetre wave V2X communications: A survey and outlook

A Kose, H Lee, CH Foh… - IEEE open journal of …, 2021 - ieeexplore.ieee.org
It is envisaged that 5G can enable many vehicular use cases that require high capacity, ultra-
low latency and high reliability. To support this, 5G proposes the use of dense small cells …

[Retracted] Machine Learning‐Based Intelligent Wireless Communication System for Solving Real‐World Security Issues

J Alanya-Beltran, R Raut, S Patil… - Security and …, 2022 - Wiley Online Library
The intelligent wireless system focuses on integrating with the advanced technologies like
machine learning and related approaches in order to enhance the performance, productivity …