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eess.SP2019
Two-Stage Learning for Uplink Channel Estimation in One-Bit Massive MIMO
Eren Balevi, Jeffrey G. Andrews
We develop a two-stage deep learning pipeline architecture to estimate the uplink massive MIMO channel with one-bit ADCs. This deep learning pipeline is composed of two separate ge…
eess.SP2019
Massive MIMO Channel Estimation with an Untrained Deep Neural Network
Eren Balevi, Akash Doshi, Jeffrey G. Andrews
This paper proposes a deep learning-based channel estimation method for multi-cell interference-limited massive MIMO systems, in which base stations equipped with a large number of…
eess.SP2019★ 28 cited
Deep Learning-Based Channel Estimation for High-Dimensional Signals
Eren Balevi, Jeffrey G. Andrews
We propose a novel deep learning-based channel estimation technique for high-dimensional communication signals that does not require any training. Our method is broadly applicable…