An overview of signal processing techniques for terahertz communications

H Sarieddeen, MS Alouini… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Terahertz (THz)-band communications are a key enabler for future-generation wireless
communication systems that promise to integrate a wide range of data-demanding …

A tutorial on terahertz-band localization for 6G communication systems

H Chen, H Sarieddeen, T Ballal… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Terahertz (THz) communications are celebrated as key enablers for converged localization
and sensing in future sixth-generation (6G) wireless communication systems and beyond …

Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

GNSS-free outdoor localization techniques for resource-constrained IoT architectures: A literature review

A Moradbeikie, A Keshavarz, H Rostami, S Paiva… - Applied Sciences, 2021 - mdpi.com
Large-scale deployments of the Internet of Things (IoT) are adopted for performance
improvement and cost reduction in several application domains. The four main IoT …

A review of radio frequency based localisation for aerial and ground robots with 5g future perspectives

M Kabiri, C Cimarelli, H Bavle, JL Sanchez-Lopez… - Sensors, 2022 - mdpi.com
Efficient localisation plays a vital role in many modern applications of Unmanned Ground
Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved …

RWKNN: A modified WKNN algorithm specific for the indoor localization problem

G Chen, X Guo, K Liu, X Li, J Yang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
This paper proposes a restricted weighted-nearest neighbor algorithm (RWKNN) specific for
indoor environments. The traditional WKNN method determines the locations by calculating …

Urban navigation with LTE using a large antenna array and machine learning

R Whiton, J Chen, T Johansson… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
Channel fingerprinting entails associating a point in space with measured properties of a
received wireless signal. If the propagation environment for that point in space remains …

Wiometrics: Comparative performance of artificial neural networks for wireless navigation

R Whiton, J Chen, F Tufvesson - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Radio signals are used broadly as navigation aids, and current and future terrestrial wireless
communication systems have properties that make their dual-use for this purpose attractive …

A survey of machine learning in pedestrian localization systems: Applications, open issues and challenges

VF Mirama, LE Diez, A Bahillo, V Quintero - IEEE Access, 2021 - ieeexplore.ieee.org
With the popularization of machine learning (ML) techniques and the increased chipset's
performance, the application of ML to pedestrian localization systems has received …