28 citations · 31 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
Autoencoder-Based Error Correction Coding for One-Bit Quantization
Eren Balevi, Jeffrey G. Andrews
This paper proposes a novel deep learning-based error correction coding scheme for AWGN channels under the constraint of one-bit quantization in the receivers. Specifically, it is…
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…
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…
Online Antenna Tuning in Heterogeneous Cellular Networks with Deep Reinforcement Learning
Eren Balevi, Jeffrey G. Andrews
We aim to jointly optimize antenna tilt angle, and vertical and horizontal half-power beamwidths of the macrocells in a heterogeneous cellular network (HetNet). The interactions be…