Deep Neural Network: An Alternative to Traditional Channel Estimators in Massive MIMO Systems

Author:

Melgar Antonio1ORCID,de la Fuente Alejandro1ORCID,Carro-Calvo Leopoldo1ORCID,Barquero-Perez Oscar1ORCID,Morgado Eduardo1ORCID

Affiliation:

1. Department of Signal Theory and Communications, University Rey Juan Carlos, Fuenlabrada, Spain

Funder

Vodafone España S.A.U. in the framework of the program Vodafone Campus Lab for the provision of Research Aid Funds

Department of Education and Research of the Madrid Regional Government

European Social Fund

State Investigation Agency, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Cited by 8 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. An Optimized Sequence for Sparse Channel Estimation in a 5G MIMO System;International Journal of Electronics;2024-01-22

2. The Use of Deep Learning Techniques in OFDM Receivers for 5G NR: A Survey;Procedia Computer Science;2024

3. Unlocking the power of recalling enhanced recurrent neural network: channel estimation and data analysis for 5G MIMO communication system;Optical and Quantum Electronics;2023-12-14

4. Channel Capacity Estimation for 5G System Using MIMO Multiplexing and PSO;2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC);2023-11-24

5. A Survey on Learning-Based Channel Estimation Methods Used for 5G Massive Mimo System;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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