Kehai Qiu — accepted AI-conference papers

2025

The First Indoor Pathloss Radio Map Prediction Challenge

Stefanos Bakirtzis, Çagkan Yapar, Kehai Qiu, Ian J. Wassell, Jie Zhang

ICASSP 2025accepted

To encourage further research and to facilitate fair comparisons in the development of deep learning-based radio propagation models, in the less explored case of directional radio signal emissions in indoor propagation environments, we have launched the ICASSP 2025 First Indoor Pathloss Radio Map Pr…

Cited by 0 Source ↗Scholar ↗

2023

Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems

Kehai Qiu, Stefanos Bakirtzis, Hui Song, Ian J. Wassell, Jie Zhang

ICASSP 2023accepted

Deep learning (DL) has been recently leveraged for the inference of characteristics related to wireless communication channels, such as path loss (PL). This paper presents how a deep convolutional encoder-decoder, namely a path loss prediction net (PPNet) based on SegNet, can be trained to transform…

Cited by 0 Source ↗Scholar ↗