Environment Knowledge-Aided Massive MIMO Feedback Codebook Enhancement Using Artificial Intelligence-Reference-Cited by-同舟云学术

Environment Knowledge-Aided Massive MIMO Feedback Codebook Enhancement Using Artificial Intelligence

Published:2022-07 Issue:7 Volume:70 Page:4527-4542
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Guo Jiajia¹^ORCID,Wen Chao-Kai²^ORCID,Chen Muhan¹^ORCID,Jin Shi¹^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shandong Province

OPPO Research Fund

Ministry of Science and Technology of Taiwan

Postgraduate Research&Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/9830596/09789120.pdf?arnumber=9789120

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4. Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

5. CSI-based Positioning in Massive MIMO systems using Convolutional Neural Networks

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