An overview of massive MIMO localization techniques in wireless cellular networks: Recent advances and outlook

O Alamu, B Iyaomolere, A Abdulrahman - Ad Hoc Networks, 2021 - Elsevier
The massive multiple-input-multiple-output (mMIMO) antenna systems are well known for
their capability to achieve high spectral efficiency in wireless communication systems thanks …

Exploit High-Dimensional RIS Information to Localization: What Is the Impact of Faulty Element?

T Wu, C Pan, K Zhi, H Ren, M Elkashlan… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
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 …

Maximum-Likelihood-Based Location, Orientation, Transmitted Power, and Antenna Beamwidth Estimator Utilizing the Angle-of-Arrival and Received Power for …

P Hanpinitsak, K Murakami, JI Takada, K Saito - IEEE Access, 2023 - ieeexplore.ieee.org
The fifth-generation (5G) system utilizing millimeter wave is available in Japan, but more
bandwidth is demanded by the mobile phone operators to accommodate the demand for …

Machine Learning-based Optimized 3G/LTE/5G Planar Wideband Antenna with Tri-bands Filtering Notches

SA Babale, TK Geok, SKA Rahim, CP Liew… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

An Indoor Pseudolite Positioning Method Based on Measured and Simulated Fingerprints

Y Li, H Li, B Yu, J Li - IEEE Antennas and Wireless Propagation …, 2022 - ieeexplore.ieee.org
At present, the indoor positioning method of pseudolite based on fingerprint is restricted by
the range and density of fingerprint collection, and its stability, reliability, and accuracy are …

Multi-Sources Information Fusion Learning for Multi-Points NLOS Localization

B Wang, F Zhu, M Liu, C Huang, Q Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate localization of mobile terminals is crucial for integrated sensing and
communication systems. Existing fingerprint localization methods, which deduce …

[HTML][HTML] Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance

J Kaur, S Bhatti, K Tan, OR Popoola, MA Imran… - APL Machine …, 2024 - pubs.aip.org
Beamforming, an integral component of modern mobile networks, enables spatial selectivity
and improves network quality. However, many beamforming techniques are iterative …

A Ray-Tracing Based Fingerprinting Method for Passive Localization in Urban NLOS Environment

Q Liu, S Xu, JW Lee, C Yuen… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
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 …

Deep neural network for localization of mobile users using raytracing

J Kaur, OR Popoola, MA Imran… - 2022 IEEE USNC …, 2022 - ieeexplore.ieee.org
As the world evolves towards faster data transmission, there is an ever-increasing demand
for better user localization which will find application in transport, medicine, and robotics. In …

[HTML][HTML] Localization Techniques in Multiple-Input Multiple-Output Communication: Fundamental Principles, Challenges, and Opportunities

K Vuckovic, N Rahanvard - 2023 - intechopen.com
This chapter provides an overview of localization techniques in Multiple-Input Multiple-
Output (MIMO) communication systems. The chapter mainly focuses on sub-6 GHz and …