Amanote Research
Register
Sign In
Beamspace Local LMMSE: An Efficient Digital Backend for mmWave Massive MIMO
doi 10.1109/spawc.2019.8815585
Full Text
Open PDF
Abstract
Available in
full text
Date
July 1, 2019
Authors
Mohammed Abdelghany
Upamanyu Madhow
Antti Tolli
Publisher
IEEE
Related search
Iterative Multiuser Equalization for Subconnected Hybrid mmWave Massive MIMO Architecture
Wireless Communications and Mobile Computing
Computer Networks
Electronic Engineering
Information Systems
Electrical
Communications
DFT Codebook-Based Hybrid Precoding for Multiuser mmWave Massive MIMO Systems
Eurasip Journal on Advances in Signal Processing
Hardware
Electronic Engineering
Signal Processing
Electrical
Architecture
Compression-Based LMMSE Channel Estimation With Adaptive Sparsity for Massive MIMO in 5G Systems
IEEE Systems Journal
Control
Systems Engineering
Information Systems
Electronic Engineering
Computer Networks
Communications
Computer Science Applications
Electrical
Ultra-Reliable and Low Latency Communication in mmWave-Enabled Massive MIMO Networks
IEEE Communications Letters
Electronic Engineering
Simulation
Computer Science Applications
Electrical
Modeling
Channel Estimation via Gradient Pursuit for mmWave Massive MIMO Systems With One-Bit ADCs
Eurasip Journal on Wireless Communications and Networking
Computer Networks
Computer Science Applications
Signal Processing
Communications
Power Efficient Low Complexity Precoding for Massive MIMO Systems
Energy Efficient Massive MIMO System Design for Smart Grid Communications
Hybrid Beamforming for Single Carrier Mmwave Mimo Systems
Efficient Linear Precoding for Massive MIMO Systems Using Truncated Polynomial Expansion
