移动通信2024，Vol.48Issue(7)：57-65,9.DOI:10.3969/j.issn.1006-1010.20240516-0002
基于多模态注意力机制的频域非平稳信道估计
Frequency Domain Non-Stationary Channel Estimation Based on Multimodal Attention Mechanism
摘要
Abstract
Channel estimation is critical for modern wireless communication systems,particularly in ultra-massive multiple-input multiple-output orthogonal frequency-division multiplexing systems,where channels exhibit frequency-domain non-stationarity.This study extends single-band channel estimation to multi-band scenarios,modeling and addressing the problem for frequency-domain non-stationary sub-6 GHz and millimeter-wave systems.We propose a frequency-domain non-stationary channel estimation framework based on a multimodal attention mechanism.This framework extracts channel features through multimodal processing,utilizes the attention mechanism to dynamically adjust the weights of different information,and performs feature fusion,ultimately outputting the millimeter-wave channel estimation results.Theoretical analysis and numerical simulations demonstrate the reliability and effectiveness of the proposed algorithm in adapting to frequency-domain non-stationary channel estimation tasks.关键词
频域非平稳/信道估计/毫米波大规模MIMOKey words
frequency domain non-stationary/channel estimation/mmWave massive MIMO分类
信息技术与安全科学引用本文复制引用
李璐,蒋佳琪,张舜卿,余涛,李济宏,郑嘉怡..基于多模态注意力机制的频域非平稳信道估计[J].移动通信,2024,48(7):57-65,9.基金项目
国家重点研发计划项目"新能源驱动的6G跨制式融合组网方法"(2022YFB2902304) （2022YFB2902304）
国家自然科学基金项目"面向非平稳环境的高能效无线传输关键技术研究"(62071284) （62071284）
