A Poisson Shot Noise Limited MMSE Precoding for Photon-Counting MIMO Systems with Reinforcement Learning
With the development of the Internet of Things (IoT), most communication systems are difficult to implement on a large scale due to their high complexity. Multiple-input multiple-output (MIMO) precoding is a generally used technique for improving the reliability of free-space optical (FSO) communica...
Main Authors: | Zihao Li, Xiaolin Zhou, Chengrui Wan, Gang Du, Yuequan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/19/10855 |
Similar Items
-
On Weighted Sum Rate of Multi-User Photon-Counting Multiple-Input Multiple-Output Visible Light Communication Systems under Poisson Shot Noise
by: Ying Chen, et al.
Published: (2024-02-01) -
Cell Coverage Extension With Orthogonal Random Precoding for Massive MIMO Systems
by: Nhan Thanh Nguyen, et al.
Published: (2017-01-01) -
Linear precoder design for non-orthogonal AF MIMO relaying systems based on MMSE criterion
by: Yunida Yunida, et al.
Published: (2018-12-01) -
Hybrid Precoding and Combining Strategy for MMSE-Based Rate Balancing in mmWave Multiuser MIMO Systems
by: Woohyeong Park, et al.
Published: (2022-01-01) -
Effective user selection algorithm for quantized precoding in massive MIMO
by: Nayan fang, et al.
Published: (2015-02-01)