Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity
Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems
Compressive Sensing Based Multi-User Detector for the Large-Scale SM-MIMO Uplink
Blind Channel Estimation for MIMO-OFDM Systems
Time-frequency MSE analysis of linear channel estimation methods for the LTE downlink
A Study of Pilot-Aided Channel Estimation in MIMO-GFDM Systems.
Achievable Downlink Rates of MRC and ZF Precoders in Massive MIMO With Uplink and Downlink Pilot Contamination
Compressive Sensing Based Multi-User Detection for Uplink Grant-Free Non-Orthogonal Multiple Access
Capacity and power allocation for fading MIMO channels with channel estimation error
Space-Time Alignment for Channel Estimation in Millimeter Wave Communication with Beam Sweeping
Beamspace channel estimation for millimeter-wave massive MIMO systems with lens antenna array
Efficient Beam Training and Channel Estimation for Millimeter Wave Communications Under Mobility
Hybrid Iterative Space-Time Equalization for Multi-User mmW Massive MIMO Systems
Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System
Beamspace channel estimation for 3D lens-based millimeter-wave massive MIMO systems
Structured Compressive Sensing Based Superimposed Pilot Design in Downlink Large-Scale MIMO Systems
Channel Estimation and Data Detection Using Machine Learning for MIMO 5G Communication Systems in Fading Channel
Performance analysis of precoding techniques for Massive MU-MIMO systems
An introduction to the multi-user MIMO downlink
Performance analysis and comparison of ZF and MRT based downlink massive MIMO systems
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution
{Fully-Automatic Bayesian Piecewise Sparse Linear Models}
KCNN: Extremely-Efficient Hardware Keypoint Detection with a Compact Convolutional Neural Network
the factor graph approach to model - based signal processing .
6 magnetic field sensors based on microelectromechanical systems ( mems ) technology .