A Handover Assistance Algorithm Based on SDN and Machine Learning

Z Yang, X Liu, M Wu, W Huang - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the 5th generation mobile network (5G), microcells are densely deployed for spatial
multiplexing, working in concert with traditional macrocells. 5G network uses not only the …

Reinforcement learning based adaptive handover in ultra-dense cellular networks with small cells

Q Liu, CF Kwong, W Sun, L Li… - … Symposium on Artificial …, 2020 - spiedigitallibrary.org
The dense deployment of the small base station (BS) in fifth-generation commination system
can satisfy the user demand on high data rate transmission. On the other hand, such a …

Deep-learning based proactive handover for 5G/6G mobile networks using wireless information

SK Vankayala, SKS Gollapudi, S Singh… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Future blockage prediction-based proactive handover (HO) is an essential feature in 5G/6G
wireless networks to establish reliable connectivity between user equipment (UE) and base …

An Intelligent Energy-Efficient Handover Scheme Based on CoMP for Heterogeneous Network

Z Zhang, Y Liu, Z Jiang, B Yang… - IEEE Communications …, 2024 - ieeexplore.ieee.org
With the exponential growth of user equipment (UE) access in future networks, service
operators are deploying many low-cost and low-power heterogeneous base stations …

[PDF][PDF] Holistic Mobility Management leveraging Risk Averse Reinforcement Learning

MUB Farooq, SK Kasi, M Manalastas, C Zhu, B Sheen… - ai4networks.com
The trend towards denser base station deployment and multi-band operations in emerging
cellular networks has made mobility management and handover (HO) optimization a …

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 …

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 …

An improved handover decision algorithm for 5G heterogeneous networks

SA Khan, I Shayea, M Ergen… - 2021 IEEE 15th …, 2021 - ieeexplore.ieee.org
Heterogeneous Network (HetNet) appears as one of the most potential solutions for Fifth
Generation (5G) mobile networks. It provides flexible and ubiquitous wireless connections to …

Optimization of cell individual offset for handover of flying base stations and users

A Madelkhanova, Z Becvar… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To ensure a seamless mobility of users in the scenario with flying base stations (FlyBSs) and
static ground base stations (GBSs), an efficient handover mechanism is required. In this …

A UAV-Assisted Handover Scheme for Coverage Maximization against 5G Coverage Holes

H Jung, E Rastogi, JP Jeong - 2023 14th International …, 2023 - ieeexplore.ieee.org
The Handover (HO) problem is widely explored by the research industry. In the dense traffic,
the vehicles move at a lower speed, which means the vehicles will spend more time in the …