Exploit High-Dimensional RIS Information to Localization: What Is the Impact of Faulty Element?
This paper proposes a novel localization algorithm using the reconfigurable intelligent
surface (RIS) received signal, ie, RIS information. Compared with BS received signal, ie, BS …
surface (RIS) received signal, ie, RIS information. Compared with BS received signal, ie, BS …
Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance
Beamforming, an integral component of modern mobile networks, enables spatial selectivity
and improves network quality. However, many beamforming techniques are iterative …
and improves network quality. However, many beamforming techniques are iterative …
Machine Learning-based Optimized 3G/LTE/5G Planar Wideband Antenna with Tri-bands Filtering Notches
A multiband microstrip-fed wideband (WB) antenna with filtering notches is described for
applications. The proposed antenna comprises three notch bands by etching a modified …
applications. The proposed antenna comprises three notch bands by etching a modified …
Near-Field Mobile Tracking: A Framework of Using XL-RIS Information
This paper introduces a novel mobile tracking framework leveraging the high-dimensional
signal received from extremely large-scale (XL) reconfigurable intelligent surfaces (RIS) …
signal received from extremely large-scale (XL) reconfigurable intelligent surfaces (RIS) …
Multi-Sources Information Fusion Learning for Multi-Points NLOS Localization
Accurate localization of mobile terminals is crucial for integrated sensing and
communication systems. Existing fingerprint localization methods, which deduce …
communication systems. Existing fingerprint localization methods, which deduce …
A Ray-Tracing Based Fingerprinting Method for Passive Localization in Urban NLOS Environment
Non-line-of-sight (NLOS) error mitigation for localization in urban environment has been a
challenging problem because NLOS errors are site-specific and difficult to model. RF feature …
challenging problem because NLOS errors are site-specific and difficult to model. RF feature …
Artificial Intelligence-Based Classification of Multipath Types for Vehicular Localization in Dense Environments
Y Bakhoraisa, AB Abd Aziz, TK Geok… - International …, 2024 - publisher.uthm.edu.my
Multipath-geometry is the most promising approach for vehicular localization in line of sight
(LOS) and non-line of sight (NLOS) scenarios. In such approach, identifying the type of the …
(LOS) and non-line of sight (NLOS) scenarios. In such approach, identifying the type of the …