Environment-Specific Beam Training for Extremely Large-Scale MIMO Systems via Contrastive Learning-Reference-Cited by-同舟云学术

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Environment-Specific Beam Training for Extremely Large-Scale MIMO Systems via Contrastive Learning

Published:2023-10 Issue:10 Volume:27 Page:2638-2642
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Zhang Xiangyu¹^ORCID,Zhang Haiyang²^ORCID,Li Chunguo¹^ORCID,Huang Yongming¹^ORCID,Yang Luxi¹^ORCID

Affiliation:

1. School of Information Science and Engineering and National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Key research and development plan of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10275739/10242025.pdf?arnumber=10242025

Reference16 articles.

1. Near-Field Modelling and Performance Analysis for Multi-User Extremely Large-Scale MIMO Communication

2. Beam Focusing for Near-Field Multiuser MIMO Communications

3. Non-Stationarities in Extra-Large-Scale Massive MIMO

4. Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation

5. A Cluster-Based Channel Model for Massive MIMO Communications in Indoor Hotspot Scenarios

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