2 papers
cs.LG2026
Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches
ÃaÄkan Yapar
Optimal wireless transmitter placement is a central task in radio-network planning, and exhaustive search becomes prohibitively expensive at scale. This paper studies the single-tr…
eess.SP2026
Radio Map Prediction from Noisy Environment Information and Sparse Observations
Fabian Jaensch, ÃaÄkan Yapar, Giuseppe Caire +1
Many works have investigated radio map and path loss prediction in wireless networks using deep learning, in particular using convolutional neural networks. However, most assume pe…