A survey on indoor visible light positioning systems: Fundamentals, applications, and challenges

Z Zhu, Y Yang, M Chen, C Guo, J Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
The growing demand for location-based services in areas like virtual reality, robot control,
and navigation has intensified the focus on indoor localization. Visible light positioning …

xApp for traffic steering and load balancing in the O-RAN architecture

R Ntassah, GM Dell'Aera… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Traffic steering is an essential aspect of the radio access network (RAN). The O-RAN
Alliance architectural framework provides an environment for intelligent traffic steering using …

Machine learning approach to predict the DC bias for adaptive OFDM transmission in indoor Li-Fi applications

MT Salman, DR Siddle, AG Udu - IEEE Access, 2025 - ieeexplore.ieee.org
Multilevel quadrature amplitude modulation (M-QAM) combined with DC-bias in optical
orthogonal frequency division multiplexing (DCO-OFDM) offers a spectrally efficient solution …

Machine-Learning-Assisted Scenario Classification Using Large-Scale Fading Characteristics and Geographic Information

M Zhao, Y Yu, C Yi, H Wang… - 2022 IEEE/CIC …, 2022 - ieeexplore.ieee.org
With the continuous growth of mobile communications, great progress has been made in
wireless channel measurements and modeling. The channel characteristics vary …

Adaptive handover control parameters based on cell load capacity in a B5G/6G heterogeneous network

MM Mohamed, HM Elbadawy… - … Electronics and Control), 2024 - telkomnika.uad.ac.id
Abstract In the B5G/6G network, the deployment of small cells increased to keep up with the
growth of mobile traffic. This deployment will increase the number of handovers (HOs) …

Wireless Channel Scenario Identification Using Convolutional Neural Networks

GR Gopal, J Chen, WJ Hillery, J Tan… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
Wireless channel scenario identification carries importance as it assists in network design
aspects such as receiver modeling and channel prediction. In this work, we consider the …

A Machine Learning Based Scheme for Indoor/Outdoor Classification in Wireless Communication Networks

YA Chen - … Conference on Consumer Electronics-Taiwan (ICCE …, 2023 - ieeexplore.ieee.org
Fifth generation (5G) New Radio (NR), was developed to offer more flexibility to meet new
service requirements. Meanwhile, machine learning (ML) has proven successful in a variety …