Impact of CSI Knowledge on the Codebook-Based Hybrid Beamforming in Massive MIMO-Reference-Cited by-同舟云学术

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Impact of CSI Knowledge on the Codebook-Based Hybrid Beamforming in Massive MIMO

Published:2016-12-15 Issue:24 Volume:64 Page:6545-6556
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Liu An,Lau Vincent K. N.

Funder

National Natural Science Foundation of China

Research Grants Council

Huawei

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/7593448/07572969.pdf?arnumber=7572969

Cited by 39 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. Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

2. Low-complexity hybrid precoding for sub-connected millimeter wave massive MIMO systems;Signal Processing;2024-06

3. Subspace-Based Super-Resolution Sparse Channel Estimation in Millimeter-Wave Massive MIMO Systems;Sparse Signal Processing for Massive MIMO Communications;2023-10-17

4. Group-and-Codebook Based Two-Timescale Hybrid Precoding for mmWave Massive MIMO Systems;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

5. Low-Complexity Two-Timescale Hybrid Precoding for mmWave Massive MIMO: A Group-and-Codebook Based Approach;IEEE Transactions on Wireless Communications;2023

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