An Improved LAMP Algorithm for Beam Space Channel Estimation in MIMO-OFDM mmWave Systems

This paper explores downlink communication in a multiple-input multiple-output Orthogonal Time Frequency Space (MIMO-OTFS) system. By leveraging the prior information of the beam space channel (BC), we derive a novel Laplace shrinkage function. We propose a BC estimation scheme, Laplace Distribution Enhanced LAMP (LDE-LAMP), by integrating the Learned Approximate Message Passing (LAMP) network with this new shrinkage function. Simulation results demonstrate that the proposed LDE-LAMP network algorithm achieves superior channel estimation accuracy compared to traditional LAMP networks.

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Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/icicn62625.2024.10761387
Primary Topic
Advanced Wireless Communication Techniques
Type
article
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article

An Improved LAMP Algorithm for Beam Space Channel Estimation in MIMO-OFDM mmWave Systems

Yichen Liu, Jiahao Zhang, Yong-Mei Zhang, Li Ma et al.
Advanced Wireless Communication Techniques
article

An Improved LAMP Algorithm for Beam Space Channel Estimation in MIMO-OFDM mmWave Systems

Yichen Liu, Jiahao Zhang, Yong-Mei Zhang, Li Ma, Peiyang Li, Xi Han
article en

Abstract

This paper explores downlink communication in a multiple-input multiple-output Orthogonal Time Frequency Space (MIMO-OTFS) system. By leveraging the prior information of the beam space channel (BC), we derive a novel Laplace shrinkage function. We propose a BC estimation scheme, Laplace Distribution Enhanced LAMP (LDE-LAMP), by integrating the Learned Approximate Message Passing (LAMP) network with this new shrinkage function. Simulation results demonstrate that the proposed LDE-LAMP network algorithm achieves superior channel estimation accuracy compared to traditional LAMP networks.

North China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Wireless Communication Techniques
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