Semi-Supervised ML-Based Joint Channel Estimation and Decoding for m-MIMO With Gaussian Inference Learning-Reference-Cited by-同舟云学术

Semi-Supervised ML-Based Joint Channel Estimation and Decoding for m-MIMO With Gaussian Inference Learning

Published:2023-12 Issue:12 Volume:12 Page:2123-2127
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Soares Jonathan Aguiar¹^ORCID,Mayer Kayol Soares¹^ORCID,Arantes Dalton Soares¹^ORCID

Affiliation:

1. Department of Communications, School of Electrical and Computer Engineering, Digital Communications Laboratory, Universidade Estadual de Campinas, Campinas, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/10352152/10233097.pdf?arnumber=10233097

Reference40 articles.

1. Design Criteria for Omnidirectional STBC in Massive MIMO Systems

2. Kronecker Product-Based Space-Time Block Codes

3. Performance Analysis and Compensation of Joint TX/RX I/Q Imbalance in Differential STBC-OFDM

4. Enhanced Adaptive Polar-Linear Interpolation Aided Channel Estimation

5. Complex-Valued Phase Transmittance RBF Neural Networks for Massive MIMO-OFDM Receivers

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