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A Machine Learning Framework for Enhancing 5G mmWave Radio Frequency Prediction

Internet Technology Letters
ABSTRACT5G mmWave technology offers high data rates and bandwidth, but high path loss and environmental changes affect signal quality. Existing models are not suitable for mmWave channels due to their varying nature over time. To overcome these challenges, this research presents an efficient time‐dependent channel modeling framework based on a ...
R. Shantha Mary Joshitta   +5 more
openaire   +1 more source

A Hierarchical Framework for Drone Identification based on Radio Frequency Machine Learning

2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022
Xinrui Zhao   +3 more
openaire   +1 more source

Machine learning for radio frequency interference mitigation using polarization

2018
Radio frequency interference (RFI) is electromagnetic interference (EMI) from signals in the radio frequencies of the electromagnetic spectrum. RFI reduces the sensitivity of radio telescope and produces artefacts in the observed data. We present the result of applying machine learning techniques to detect confidently man made RFI.
Mosiane, Olorato   +2 more
openaire   +1 more source

Radio Frequency Machine Learning Mixture of Experts

MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM)
Matthew Judah, Scott Kuzdeba
openaire   +1 more source

Traffic Flow Estimation using Machine Learning and 4G/5G Radio Frequency Counters

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022
Forough Yaghoubi   +4 more
openaire   +1 more source

Research on Radio Frequency Finerprint Licalization based on Machine Learning

2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 2021
openaire   +1 more source

Demonstrating Confidence in Radio Frequency Machine Learning Systems

2024 IEEE Workshop on Signal Processing Systems (SiPS)
Matthew Judah, Scott Kuzdeba
openaire   +1 more source

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