Deep Learning Based Interference Exploitation in 1-Bit Massive MIMO Precoding-Reference-Cited by-同舟云学术

Deep Learning Based Interference Exploitation in 1-Bit Massive MIMO Precoding

Published:2023 Issue: Volume:11 Page:17096-17103
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hossienzadeh Mohsen¹^ORCID,Aghaeinia Hassan¹^ORCID,Kazemi Mohammad²^ORCID

Affiliation:

1. Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

2. Department of Electrical and Electronics Engineering, Bilknet University, Ankara, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10044093.pdf?arnumber=10044093

Reference28 articles.

1. On the power consumption of analog to digital converters

2. Analog-to-digital converter survey and analysis

3. Analysis of One-Bit Quantized Precoding for the Multiuser Massive MIMO Downlink

4. On one-bit quantized ZF precoding for the multiuser massive MIMO downlink;saxena;Proc IEEE Sensor Array Multichannel Signal Process Workshop (SAM),2016

5. Discrete-Phase Constant Envelope Precoding for Massive MIMO Systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid SLPC using Enhanced Deep secure Symbol level Auto encoder for Massive MIMO-NOMA Communication;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

2. One-bit spectrum sensing using Gustafson–Kessel fuzzy clustering for cognitive radio network;Physical Communication;2024-02

3. One-Bit Massive MIMO Precoding Using Unsupervised Deep Learning;IEEE Access;2024