Rme-gan: A learning framework for radio map estimation based on conditional generative adversarial network

S Zhang, A Wijesinghe, Z Ding - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Outdoor radio coverage map estimation is an important tool for network planning and
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …

Improving clustergan using self-augmented information maximization of disentangling latent spaces

T Dam, SG Anavatti, HA Abbass - arXiv preprint arXiv:2107.12706, 2021 - arxiv.org
Since their introduction in the last few years, conditional generative models have seen
remarkable achievements. However, they often need the use of large amounts of labelled …

[HTML][HTML] Access-point centered window-based radio-map generation network

WY Kim, SH Tae, DH Seo - Sensors, 2021 - mdpi.com
Fingerprinting is the term used to describe a common indoor radio-mapping positioning
technology that tracks moving objects in real time. To use this, a substantial number of …

Radiomap Inpainting for Restricted Areas based on Propagation Priority and Depth Map

S Zhang, T Yu, B Choi, F Ouyang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Providing rich and useful information regarding spectrum activities and propagation
channels, radiomaps characterize the detailed distribution of power spectral density (PSD) …

Irgan: cgan-based indoor radio map prediction

CT Cisse, O Baala, V Guillet, F Spies… - 2023 IFIP Networking …, 2023 - ieeexplore.ieee.org
Radio map or radio coverage prediction in indoor and outdoor remains a challenge of great
interest due to the large number of applications it allows. Many techniques such as data …

RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation

S Sarkar, MH Manshaei, M Krunz - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Radio-frequency coverage maps (RF maps) are extensively utilized in wireless networks for
capacity planning, placement of access points and base stations, localization, and coverage …

Fine Tuning an AI-based Indoor Radio Propagation Model with Crowd-sourced Data

CT Cisse, V Guillet, O Baala, F Spies… - 2024 18th European …, 2024 - ieeexplore.ieee.org
Recent years have known the development of radio propagation models (RPM) and
specially the AI-based ones. These models are interesting for many applications such as …

[PDF][PDF] Prédiction de couvertures radio indoor avec des réseaux de neurones antagonistes génératifs

CT Cissé, O BAALA, V GUILLET, F SPIES… - researchgate.net
La prédiction de cartes de couvertures radio en indoor et en outdoor reste un défi de grand
intérêt grâce au grand nombre d'applications qu'elle permet. De nombreuses méthodes …