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When Transformer Meets CSI Feedback in mMIMO Systems: A Lightweight CsiMobileViT Approach

研究成果: Conference contribution同行評審

摘要

Accurate channel state information (CSI) feedback is essential in frequency division duplex massive multiple-input multiple-output systems, but increasing antennas cause the CSI matrix to grow exponentially, leading to significant feedback overhead. Inspired by the success of Transformers in natural language processing, recent Transformer-based CSI feedback methods have achieved excellent performance, though often with high computational costs that hinder real-time deployment on terminal devices. To address this challenge, in this paper, we present CsiMobileVit, a lightweight network that lowers computational complexity while maintaining reconstruction accuracy. The method achieves a good balance between simplicity and accuracy, making it practical for resource-limited devices. Extensive experiments confirm the effectiveness of this network.

原文English
主出版物標題2025 IEEE 102nd Vehicular Technology Conference, VTC 2025-Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798331503208
DOIs
出版狀態Published - 2025
事件2025 IEEE 102nd Vehicular Technology Conference, VTC 2025 - Chengdu, China
持續時間: 19 10月 202522 10月 2025

出版系列

名字IEEE Vehicular Technology Conference
ISSN(列印)1090-3038

Conference

Conference2025 IEEE 102nd Vehicular Technology Conference, VTC 2025
國家/地區China
城市Chengdu
期間19/10/2522/10/25

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