期刊
IEEE WIRELESS COMMUNICATIONS LETTERS
卷 12, 期 11, 页码 1956-1960出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2023.3301992
关键词
Nested dropout; ordered vector quantization; adaptive quantization; MIMO systems; FDD systems
We propose a user-driven method for adaptive quantization and feedback of channel state information (CSI) in frequency division duplexing systems. The approach can be combined with existing autoencoder neural networks and requires only a single codebook shared between the users and the base station. Users can provide feedback with different numbers of bits depending on their data rates, without system changes or additional storage requirements. Simulation results show the proposed method outperforms state-of-the-art schemes in dynamically adapting to different feedback rates.
We propose a user-driven method for adaptive quantization and feedback of channel state information (CSI) in frequency division duplexing systems. The approach can be combined with existing autoencoder neural networks and requires only a single codebook shared between the users and the base station. Users can provide feedback with different numbers of bits depending on their data rates, without system changes or additional storage requirements. We optimize CSI feedback by combining the nested dropout layer with vector quantization, resulting in a variable-length feedback approach. Simulation results show the proposed method outperforms state-of-the-art schemes in dynamically adapting to different feedback rates.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据