Resource allocation in mmWave 5G IAB networks: A reinforcement learning approach based on column generation

B Zhang, F Devoti, I Filippini, D De Donno - Computer Networks, 2021 - Elsevier
Millimeter wave (mmWave) communications have been introduced in the 5G standardization
process due to their attractive potential to provide a huge capacity extension to traditional …

1 A deep reinforcement learning framework to combat dynamic blockage in mmWave V2X networks

S Chen, K Vu, S Zhou, Z Niu, M Bennis… - 2020 2nd 6G …, 2020 - ieeexplore.ieee.org
Millimeter Wave (mmWave) systems are considered as one of the key technologies in future
wireless systems due to the abundant spectrum resources in mmWave band. With the aim of …

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 …

A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks

PJ Gu, J Voigt, PM Rost - arXiv preprint arXiv:2401.14823, 2024 - arxiv.org
Due to an ever-increasing number of participants and new areas of application, the
demands on mobile communications systems are continually increasing. In order to deliver …

Self-organizing mm wave networks: A power allocation scheme based on machine learning

R Amiri, H Mehrpouyan - 2018 11th Global symposium on …, 2018 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is anticipated to provide significant throughout
gains in urban scenarios. To this end, network densification is a necessity to meet the high …

Mobility Management for Small Cells in 5G Ultra-Dense Wireless Network

RQ Shaddad, WGH Al-Barakani… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
One of the most anticipated approaches to overcoming the uncertainty of millimeter wave
(mmWave) network is the deployment of ultra-dense small-cells in future fifth generation …

Double deep reinforcement learning assisted handovers in 5g and beyond cellular networks

S Verma, S Abhirami, A Kumar… - 2023 15th International …, 2023 - ieeexplore.ieee.org
In 5G and beyond cellular networks, the typical cell size has been reducing to provide higher
data rates and meet the low latency requirements. Such ultra-dense deployments of base …

Power aware mobility management of M2M for IoT communications

A Ahmad, A Paul, MM Rathore… - Mobile Information …, 2015 - Wiley Online Library
Machine‐to‐Machine (M2M) communications framework is evolving to sustain faster
networks with the potential to connect millions of devices in the following years. M2M is one …

Multi-hop routing with proactive route refinement for 60 ghz millimeter-wave networks

C Samarathunga, M Abouelseoud… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
Fundamental requirements of millimeter wave (mmWave) systems are peak data rates of
multiple Gbps and latencies of the order of at most a few milliseconds. However, highly …

Efficient conditional handover algorithm in 5G with blockages using recurrent neural network

ZH Huang, YS Chen, MJ Tsai - 2023 IEEE 20th Consumer …, 2023 - ieeexplore.ieee.org
In the Third Generation Partnership Project (3GPP) specification [1], the conditional hand
over procedure is defined to reduce the hand over failures in 5G networks by early …