Z Zhou, Z Xiao, Y Zeng - IEEE Communications Letters, 2024 - ieeexplore.ieee.org
As the mobile communication network evolves over the past few decades, localizing user equipment (UE) has become an important network service. While localization in line-of-sight …
Channel charting is a data-driven baseband processing technique consisting in applying unsupervised machine learning techniques to channel state information (CSI), with the …
Y Li, Y Zhuang, X Hu, Z Gao, J Hu, L Chen, Z He… - arXiv preprint arXiv …, 2020 - arxiv.org
The Internet of Things (IoT) has started to empower the future of many industrial and mass- market applications. Localization techniques are becoming key to add location context to IoT …
In fifth-generation (5G) cellular networks, users feed back to the base station the index of the precoder (from a codebook) to be used for downlink transmission. The precoder is strongly …
Y Pan, S De Bast, S Pollin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we focus on indoor direct positioning using a practical massive multiple-input and multiple-output (MIMO) array with imperfections. First, the imperfect array needs to be …
In this work, we present a wireless localization method that operates on self-supervised and unlabeled channel estimates. Our self-supervising method learns general-purpose channel …
A key operational requirement for Autonomous vehicles (AVs) is to have a highly reliable positioning at the sub-meter lane-level accuracy. However, it is well-known that current …
A Al-Ahmadi - IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces an innovative deep learning-based approach for User Equipment positioning in massive MIMO systems, enhanced by Flying Reconfigurable Intelligent …
The ever-growing demand for increased data rates, reduced latency, and more reliable connectivity has driven the emergence of the fifth-generation (5G) wireless communication …