Sums: Sniffing Unknown Multiband Signals under Low Sampling Rates
J Peng, Z Chen, Z Lin, H Yuan, Z Fang, L Bao… - arXiv preprint arXiv …, 2024 - arxiv.org
Due to sophisticated deployments of all kinds of wireless networks (eg, 5G, Wi-Fi, Bluetooth,
LEO satellite, etc.), multiband signals distribute in a large bandwidth (eg, from 70 MHz to 8 …
LEO satellite, etc.), multiband signals distribute in a large bandwidth (eg, from 70 MHz to 8 …
Enhancing the Coexistence of 802.11 WLAN and 5G Networks using a Multi-Task Learning with Convolutional Neural Network Model
DI Putra, S Ekariani - 2024 2nd International Symposium on …, 2024 - ieeexplore.ieee.org
The increasing need for high-speed internet for wireless devices has driven the
development of 5G New Radio (NR) technology. The 5G NR operates in various spectrums …
development of 5G New Radio (NR) technology. The 5G NR operates in various spectrums …
A Unified Software and Hardware Platform for Machine Learning Aided Wireless Systems
DI Putra, MHB Pratama, R Isshiki, Y Nagao… - … on Fundamentals of …, 2023 - search.ieice.org
This paper presents a unified software and hardware wireless AI platform (USHWAP) for
developing and evaluating machine learning in wireless systems. The platform integrates …
developing and evaluating machine learning in wireless systems. The platform integrates …
[PDF][PDF] Machine Learning-Assisted Wireless Communication Platform
DI Putra - kyutech.repo.nii.ac.jp
Recently, the global demand for wireless communication networks has been increasing.
This growth is attributed to the increasing number of wireless users and the emergence of …
This growth is attributed to the increasing number of wireless users and the emergence of …