Machine Learning-Based Dimension Optimization for Two-Stage Precoder in Massive MIMO Systems with Limited Feedback
A two-stage precoder is widely considered in frequency division duplex massive multiple-input and multiple-output (MIMO) systems to resolve the channel feedback overhead problem. In massive MIMO systems, users on a network can be divided into several user groups of similar spatial antenna correlatio...
Main Authors: | Jinho Kang, Jung Hoon Lee, Wan Choi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/14/2894 |
Similar Items
-
Limited Feedforward for Channel Estimation in Massive MIMO With Cascaded Precoding
by: Yinsheng Liu, et al.
Published: (2019-01-01) -
Cell Coverage Extension With Orthogonal Random Precoding for Massive MIMO Systems
by: Nhan Thanh Nguyen, et al.
Published: (2017-01-01) -
Effective user selection algorithm for quantized precoding in massive MIMO
by: Nayan fang, et al.
Published: (2015-02-01) -
Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems
by: Qiang Sun, et al.
Published: (2022-03-01) -
Overview of Precoding Techniques for Massive MIMO
by: Mahmoud A. Albreem, et al.
Published: (2021-01-01)