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A tutorial on 5G positioning
The widespread adoption of the fifth generation (5G) of cellular networks has brought new
opportunities for the development of localization-based services. High-accuracy positioning …
opportunities for the development of localization-based services. High-accuracy positioning …
Real-time Bayesian neural networks for 6G cooperative positioning and tracking
In the evolving landscape of 5G new radio and related 6G evolution, achieving centimeter-
level dynamic positioning is pivotal, especially in cooperative intelligent transportation …
level dynamic positioning is pivotal, especially in cooperative intelligent transportation …
Sustainable mobility in B5G/6G: V2X technology trends and use cases
The concept of sustainability has been recently extended to cover economic and social
factors besides the traditional environmental ones. This paper reflects on the potential of …
factors besides the traditional environmental ones. This paper reflects on the potential of …
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
G Pan, Y Gao, Y Gao, Z Zhong, X Yang, X Guo… - arxiv preprint arxiv …, 2025 - arxiv.org
Wireless positioning technologies hold significant value for applications in autonomous
driving, extended reality (XR), unmanned aerial vehicles (UAVs), and more. With the …
driving, extended reality (XR), unmanned aerial vehicles (UAVs), and more. With the …
Deep Learning for Reduced Sampling Spatial 3D REM Reconstruction
Radio environment maps (REMs) have been established as an important tool in spectrum
occupancy characterization toward more efficient coverage planning and design of resource …
occupancy characterization toward more efficient coverage planning and design of resource …
Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction
The advent of diverse frequency bands in 5G networks has promoted measurement studies
focused on 5G signal propagation, aiming to understand its pathloss, coverage, and channel …
focused on 5G signal propagation, aiming to understand its pathloss, coverage, and channel …
Radio Map Estimation via Latent Domain Plug-and-Play Denoising
Radio map estimation (RME), also known as spectrum cartography, aims to reconstruct the
strength of radio interference across different domains (eg, space and frequency) from …
strength of radio interference across different domains (eg, space and frequency) from …
Representation Model for Electromagnetic Maps Reconstruction via Sparse Nodes
G Liu, XA Liu, L Huang, L Li… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Electromagnetic (EM) maps hold promise for providing strategic support for future
localization and navigation. However, reconstruction of EM maps under sparse nodes …
localization and navigation. However, reconstruction of EM maps under sparse nodes …
Intelligent reconstruction algorithm of electromagnetic map based on propagation model
H Li, H Wang, Z Shen, Y Shi - Journal of Communications and …, 2024 - ieeexplore.ieee.org
In view of the fact that electromagnetic maps can be used to depict the distribution of
electromagnetic spectrum in detail, and to support electromagnetic spectrum analysis and …
electromagnetic spectrum in detail, and to support electromagnetic spectrum analysis and …
Radio environment maps through spatial interpolation: A web-based approach
The 5G era has seen the largest number of studies around Radio Environment Maps (REM)
than in the previous three generations combined. Visualization of network coverage on …
than in the previous three generations combined. Visualization of network coverage on …