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20232026
most citedRadio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments

1 citations · 1 across the 14 of their papers we have counts for

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eess.SP2024

Radio Map Prediction from Aerial Images and Application to Coverage Optimization

Fabian Jaensch, Giuseppe Caire, Begüm Demir

Several studies have explored deep learning algorithms to predict large-scale signal fading, or path loss, in urban communication networks. The goal is to replace costly measuremen…

eess.SP2024

Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks

Bile Peng, Bihan Guo, Karl-Ludwig Besser +6

Millimeter wave (mmWave) cell-free massive MIMO (CF mMIMO) is a promising solution for future wireless communications. However, its optimization is non-trivial due to the challengi…