Mitigating Trade-Off in Unlicensed Network Optimization Through Machine Learning and Context Awareness

SM Kala, V Sathya, K Dahiya, T Higashino… - IEEE …, 2023 - ieeexplore.ieee.org
Unlicensed cellular networks are being deployed worldwide by cellular operators to meet
the rising data demands. However, the unlicensed band has existing incumbents such as Wi …

Machine learning enhanced channel selection for unlicensed LTE

M Tonnemacher, C Tarver, J Cavallar… - … on Dynamic Spectrum …, 2019 - ieeexplore.ieee.org
We propose a mechanism for unlicensed LTE channel selection that not only takes into
account interference to and from Wi-Fi access points but also considers other LTE operators …

Optimizing unlicensed coexistence network performance through data learning

SM Kala, V Sathya, K Dahiya, T Higashino… - … Conference on Mobile …, 2021 - Springer
Unlicensed LTE-WiFi coexistence networks are undergoing consistent densification to meet
the rising mobile data demands. With the increase in coexistence network complexity, it is …

Cirno: Leveraging capacity interference relationship for dense networks optimization

SM Kala, V Sathya, SW KG… - 2020 IEEE wireless …, 2020 - ieeexplore.ieee.org
To meet the rising data-offloading demands, IEEE 802.11-based WiFi networks have
undergone consistent densification. The unlicensed spectrum has also been harnessed …

Identification and analysis of a unique cell selection phenomenon in public unlicensed cellular networks through machine learning

SM Kala, V Sathya, K Dahiya, T Higashino… - IEEE …, 2022 - ieeexplore.ieee.org
Cellular operators deploy 4G License Assisted Access (LAA) and 5G NR-U base stations in
the unlicensed spectrum to enhance overall network capacity. This work highlights a unique …

A novel reinforcement learning based adaptive optimization of LTE-TDD configurations for LTE-U/WiFi coexistence

H Kushwaha, VJ Kotagi… - 2019 IEEE 30th Annual …, 2019 - ieeexplore.ieee.org
In order to meet the exponential rise in mobile data demand, it is proposed to supplement
existing licensed bandwidth with the unlicensed spectrum, where a part of cellular data …

Enhancing the coexistence of LTE and Wi-Fi in unlicensed spectrum through convolutional neural networks

V Maglogiannis, A Shahid, D Naudts… - IEEE …, 2019 - ieeexplore.ieee.org
Over the last years, the ever-growing wireless traffic has pushed the mobile community to
investigate solutions that can assist in more efficient management of the wireless spectrum …

Machine learning enabled Wi-Fi saturation sensing for fair coexistence in unlicensed spectrum

M Girmay, A Shahid, V Maglogiannis, D Naudts… - IEEE …, 2021 - ieeexplore.ieee.org
In the past few years, machine learning (ML) techniques have been extensively applied to
provide efficient solutions to complex wireless network problems. As such, Convolutional …

[PDF][PDF] Applications of intelligent radio technologies in unlicensed cellular networks-a survey

YF Huang, HH Chen - KSII Transactions on Internet and Information …, 2021 - itiis.org
Demands for high-speed wireless data services grow rapidly. It is a big challenge to
increasing the network capacity operating on licensed spectrum resources. Unlicensed …

Unlicensed carrier selection and user offloading in dense LTE-U networks

AM Baswade, V Sathya… - 2016 IEEE Globecom …, 2016 - ieeexplore.ieee.org
Due to the scarcity of licensed spectrum, Long-Term Evolution (LTE) operation in unlicensed
spectrum is a promising solution to provide high data rate and to reduce the load on …