Deep learning (DL) has seen great success in the computer vision (CV) field, and related techniques have been used in security, healthcare, remote sensing, and many other areas …
This article articulates the emerging paradigm, sitting at the confluence of computer vision and wireless communication, enabling beyond-5G/6G mission-critical applications …
Next generation radio access networks (RANs) en-vision softwarization and programmability as the main tools to provide the quality of service (QoS) requirements of emerging …
In this study, a ResNeSt-based deep learning approach to beamforming for 5G massive multiple-input multiple-output (MIMO) systems is presented. The ResNeSt-based deep …
S Ohta, T Nishio, R Kudo, K Takahashi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This study demonstrates the feasibility of point cloud-based proactive link quality prediction for millimeter-wave (mmWave) communications. Previous studies have proposed machine …
In this article, we present an advanced coherent receiver for the IEEE 802.15. 4 offset quadrature phase-shift keying (OQPSK) physical layer and provide an open-source …
Up-to-date and accurate prediction of Channel State Information (CSI) is of paramount importance in Ultra-Reliable Low-Latency Communications (URLLC), specifically in …
Radio Frequency (RF) Fingerprinting is proposed as a key method of authentication and physical layer security in 5G and beyond networks. The process could classify a device …
In the past, researchers designed, deployed, and evaluated Wi-Fi based localization techniques in order to locate users and devices without adding extra or costly infrastructure …