Multi-agent deep reinforcement learning for distributed handover management in dense mmWave networks
The dense deployment of millimeter wave small cells combined with directional
beamforming is a promising solution to enhance the network capacity of the current …
beamforming is a promising solution to enhance the network capacity of the current …
Dynamic handover control parameters for LTE-A/5G mobile communications
Deploying ultra-dense small-cell base stations in the next-generation mobile networks is
one of the most expected approaches to overcome the uncertainty of millimeter wave (mm …
one of the most expected approaches to overcome the uncertainty of millimeter wave (mm …
A Smart Handover Strategy for 5G mmWave Dual Connectivity Networks
The consideration of millimeter wave (mmWave) bands and ultra-dense deployment have
emerged as essential enabling solutions in Fifth Generation (5G) networks. However, these …
emerged as essential enabling solutions in Fifth Generation (5G) networks. However, these …
Automatic handover execution technique using machine learning algorithm for heterogeneous wireless networks
N Nayakwadi, R Fatima - International Journal of Information Technology, 2021 - Springer
Integrating LTE sub-6 GHz and millimeter wave (mmWave) bands brings great benefit in
increasing communication bandwidth, reliability, and better coverage of future smart …
increasing communication bandwidth, reliability, and better coverage of future smart …
The SMART handoff policy for millimeter wave heterogeneous cellular networks
The millimeter wave (mmWave) radio band is promising for the next-generation
heterogeneous cellular networks (HetNets) due to its large bandwidth available for meeting …
heterogeneous cellular networks (HetNets) due to its large bandwidth available for meeting …
PBPHS: a profile-based predictive handover strategy for 5G networks
J Sun, Y Zhang, M Trik - Cybernetics and Systems, 2024 - Taylor & Francis
One of the necessities of mobile networks is uninterrupted access to wireless services,
taking into account the requirements of quality of service. With the development of the fifth …
taking into account the requirements of quality of service. With the development of the fifth …
[HTML][HTML] Machine learning algorithms in proactive decision making for handover management from 5G & beyond 5G
A Priyanka, P Gauthamarayathirumal… - Egyptian Informatics …, 2023 - Elsevier
In recent years, heterogeneous networks (HetNets) have drawn a lot of attention to
connecting devices that will enable everything to become smart, efficient, and fast. These …
connecting devices that will enable everything to become smart, efficient, and fast. These …
Handover optimization via asynchronous multi-user deep reinforcement learning
In this paper, an asynchronous multi-user deep reinforcement learning scheme is developed
to control the handover (HO) processes across multiple user equipments (UEs), in the goal …
to control the handover (HO) processes across multiple user equipments (UEs), in the goal …
Hierarchical deep q-learning based handover in wireless networks with dual connectivity
PE Iturria-Rivera, M Elsayed, M Bavand… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
5G New Radio proposes the usage of frequencies above 10 GHz to speed up LTE's existent
maximum data rates. However, the effective size of 5G antennas and consequently its …
maximum data rates. However, the effective size of 5G antennas and consequently its …
[HTML][HTML] Handover decision-making algorithm for 5G heterogeneous networks
The evolution of 5G small cell networks has led to the advancement of vertical handover
decision-making algorithms. A mobile terminal (MT) tends to move from one place to another …
decision-making algorithms. A mobile terminal (MT) tends to move from one place to another …