PARAFAC-Based Channel Estimation for Relay Assisted mmWave Massive MIMO Systems-Reference-Cited by-同舟云学术

PARAFAC-Based Channel Estimation for Relay Assisted mmWave Massive MIMO Systems

Published:2021-12-10 Issue: Volume: Page:
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Container-title:2021 7th International Conference on Computer and Communications (ICCC)
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Author:

Lin Heyun,Zhang Guoyi,Mo Wei,Lan Tianbao,Zhang Zhihai,Ye Siyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9674217/9674209/09674700.pdf?arnumber=9674700

Reference19 articles.

1. Optimal Hybrid Beamforming Design for Millimeter-Wave Massive Multi-User MIMO Relay Systems

2. Relay Hybrid Precoding Design in Millimeter-Wave Massive MIMO Systems

3. Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays

4. Efficient Hybrid Beamforming for Relay Assisted Millimeter-Wave Multi-User Massive MIMO

5. Overview of tensor decompositions with applications to communications;de almeida;Signals and Images Advances and Results in Speech Estimation Compression Recognition Filtering and Processing,2016

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1. Speech Separation for Multi-speaker Scenarios Based on Tensor Factorization Initialization;2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC);2023-11-14

2. A Joint Channel and Symbol Estimation Algorithm Based on Nested PARAFAC Model in MIMO-OFDM mmWave Systems;2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN);2023-08-17

3. Overview of Tensor-Based Cooperative MIMO Communication Systems—Part 1: Tensor Modeling;Entropy;2023-08-08

4. Joint Channel Estimation and Symbol Detection for UAV-Assisted Systems Using Tensor Framework;2022 IEEE 22nd International Conference on Communication Technology (ICCT);2022-11-11