Experimental evaluation of rate adaptation using deep-Q-network in IEEE 802.11 WLAN
MHB Pratama, T Nakashima, Y Nagao… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Rate adaptation algorithm has an important role in the Wi-Fi network. It ensures that the
nodes transmit at a suitable transmission rate with minimum packet errors on the receiving …
nodes transmit at a suitable transmission rate with minimum packet errors on the receiving …
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 …