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Autori principali: Lai, Wenhai, Yao, Jiawei, Shen, Kaiming
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2506.00987
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author Lai, Wenhai
Yao, Jiawei
Shen, Kaiming
author_facet Lai, Wenhai
Yao, Jiawei
Shen, Kaiming
contents Passive beamforming for the intelligent surface (IS)-aided multiple-input multiple-output (MIMO) communication is a difficult nonconvex problem. It becomes even more challenging under the practical discrete constraints on phase shifts. Unlike most of the existing approaches that rely on the channel state information (CSI), this work advocates a blind beamforming strategy without any CSI. Simply put, we propose a statistical method that learns the main feature of the wireless environment from the random samples of received signal power. Field tests in the 5G commercial network demonstrate the superiority of the proposed blind passive beamforming method.
format Preprint
id arxiv_https___arxiv_org_abs_2506_00987
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Blind Passive Beamforming for MIMO System
Lai, Wenhai
Yao, Jiawei
Shen, Kaiming
Information Theory
Signal Processing
Passive beamforming for the intelligent surface (IS)-aided multiple-input multiple-output (MIMO) communication is a difficult nonconvex problem. It becomes even more challenging under the practical discrete constraints on phase shifts. Unlike most of the existing approaches that rely on the channel state information (CSI), this work advocates a blind beamforming strategy without any CSI. Simply put, we propose a statistical method that learns the main feature of the wireless environment from the random samples of received signal power. Field tests in the 5G commercial network demonstrate the superiority of the proposed blind passive beamforming method.
title Blind Passive Beamforming for MIMO System
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2506.00987