Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design-Reference-Cited by-同舟云学术

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Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Author:

Ning Xinzhi¹,Zhang Shutao²,Xue Ye³,Zheng Xi⁴,Shi Qingjiang¹,Chang Tsung-Hui²

Affiliation:

1. Tongji University,School of Software Engineering,Shanghai,China

2. The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen,China

3. Shenzhen Research Institute of Big Data,Shenzhen,China

4. Huawei Technologies,Networking and User Experience Lab,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10304363/10304364/10304486.pdf?arnumber=10304486

Reference18 articles.

1. DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications;alkhateeb,2019

2. Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning

3. Multi-Grid-Based Localized Statistical Channel Modeling: A Radio Map Approach

4. A physics-based and data-driven approach for localized statistical channel modeling;zhang;Proc IEEE ITC,2022

5. Analysis of RSRP Measurement Accuracy

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