A Survey on Machine Learning Techniques for Massive MIMO Configurations: Application Areas, Performance Limitations and Future Challenges
Author:
Affiliation:
1. Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Sterea Ellada, Dirfies Messapies, Greece
Funder
open access (OA) mode through Hellenic Academic Libraries (HEAL)-Link
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/ielx7/6287639/10005208/10002368.pdf?arnumber=10002368
Reference126 articles.
1. Joint Semi-Blind Channel Estimation and Finite Alphabet Signal Recovery Detection for Large-Scale MIMO Systems
2. On Blind Channel Estimation in Full-Duplex Wireless Relay Systems
3. Knowledge-Driven Machine Learning-based Channel Estimation in Massive MIMO System
4. Blind Channel Estimation for Massive MIMO: A Deep Learning Assisted Approach
5. Deep Learning-Based Downlink Channel Prediction for FDD Massive MIMO System
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