Extreme learning machine detector for millimeter-wave massive MIMO systems

Author:

Carrera Diego Fernando,Vargas-Rosales Cesar,Azurdia-Meza Cesar A.,Morocho-Yaguana Marco

Funder

CONACYT

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering

Reference29 articles.

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3. Two applications of deep learning in the physical layer of communication systems [lecture notes];Bjornson;IEEE Signal Process. Mag.,2020

4. Comparative study of artificial neural network based channel equalization methods for mmwave communications;Carrera;IEEE Access,2021

5. Extreme learning machines to combat phase noise in RoF-OFDM schemes;Zabala-Blanco;Electronics,2019

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1. MIMO Detection using Optimized Neural Network model for 5G Communication;IETE Journal of Research;2024-08-13

2. Timing synchronization of LACO-OFDM under non-linear distortions using ELM;AEU - International Journal of Electronics and Communications;2024-03

3. Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey;EURASIP Journal on Wireless Communications and Networking;2022-12-02

4. DLNet: Deep learning-aided massive MIMO decoder;AEU - International Journal of Electronics and Communications;2022-10

5. Novel Multilayer Extreme Learning Machine as a Massive MIMO Receiver for Millimeter Wave Communications;IEEE Access;2022

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