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eess.SP2019
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks
Ron Levie, Çağkan Yapar, Gitta Kutyniok +1
In this paper we propose a highly efficient and very accurate deep learning method for estimating the propagation pathloss from a point (transmitter location) to any point …
eess.SP2019★ 2 cited
Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems
Chang Tian, An Liu, Mahdi Barzegar Khalilsarai +3
We propose a novel randomized channel sparsifying hybrid precoding (RCSHP) design to reduce the signaling overhead of channel estimation and the hardware cost and power consumption…