Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization
The issue of channel estimation for a double intelligent reflecting surface (IRS) assisted millimeter wave multiple-input multiple-output (MIMO) system was addressed and a channel estimation scheme based on tensor decomposition and manifold optimization was proposed. Specifically, a tensor model wa...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2024-12-01
|
| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00378/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832586345736830976 |
|---|---|
| author | FENG Kaihui LIU Chen HUANG Zheng SONG Yunchao GAO Runqin |
| author_facet | FENG Kaihui LIU Chen HUANG Zheng SONG Yunchao GAO Runqin |
| author_sort | FENG Kaihui |
| collection | DOAJ |
| description | The issue of channel estimation for a double intelligent reflecting surface (IRS) assisted millimeter wave multiple-input multiple-output (MIMO) system was addressed and a channel estimation scheme based on tensor decomposition and manifold optimization was proposed. Specifically, a tensor model was constructed based on the high-dimensional features of received signals, and the objective function of the channel estimation problem was formulated based on the Tucker2 decomposition of the tensor. Then, the channel estimation problem was decomposed into multiple sub-problems using alternating optimization theory, providing feasible solutions for estimating the channel of each hop in the double IRS scenario. Finally, considering the low-rank characteristics of the millimeter wave channel itself, each channel estimation sub-problem was transformed into an optimization problem on the complex fixed-rank matrix manifold, and a manifold optimization-based alternating channel estimation scheme was proposed by leveraging the advantages of fixed-rank manifold optimization in solving rank-constrained optimization problems. Unlike traditional schemes, the proposed scheme takes into account the low-rank characteristics of millimeter wave channels, accurately describes the channels, and effectively handles fixed-rank constraints using manifold optimization theory, thus improving the accuracy of channel estimation. Simulation results show that the proposed channel estimation scheme outperforms existing reference schemes in terms of estimation performance in different scenarios. |
| format | Article |
| id | doaj-art-7a9704c90b1147e79f53bdacc122834a |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-7a9704c90b1147e79f53bdacc122834a2025-01-25T19:00:25ZzhoChina InfoCom Media Group物联网学报2096-37502024-12-01811912879606169Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimizationFENG KaihuiLIU ChenHUANG ZhengSONG YunchaoGAO RunqinThe issue of channel estimation for a double intelligent reflecting surface (IRS) assisted millimeter wave multiple-input multiple-output (MIMO) system was addressed and a channel estimation scheme based on tensor decomposition and manifold optimization was proposed. Specifically, a tensor model was constructed based on the high-dimensional features of received signals, and the objective function of the channel estimation problem was formulated based on the Tucker2 decomposition of the tensor. Then, the channel estimation problem was decomposed into multiple sub-problems using alternating optimization theory, providing feasible solutions for estimating the channel of each hop in the double IRS scenario. Finally, considering the low-rank characteristics of the millimeter wave channel itself, each channel estimation sub-problem was transformed into an optimization problem on the complex fixed-rank matrix manifold, and a manifold optimization-based alternating channel estimation scheme was proposed by leveraging the advantages of fixed-rank manifold optimization in solving rank-constrained optimization problems. Unlike traditional schemes, the proposed scheme takes into account the low-rank characteristics of millimeter wave channels, accurately describes the channels, and effectively handles fixed-rank constraints using manifold optimization theory, thus improving the accuracy of channel estimation. Simulation results show that the proposed channel estimation scheme outperforms existing reference schemes in terms of estimation performance in different scenarios.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00378/millimeter wave MIMO systemdouble IRSchannel estimationmanifold optimizationtensor decomposition |
| spellingShingle | FENG Kaihui LIU Chen HUANG Zheng SONG Yunchao GAO Runqin Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization 物联网学报 millimeter wave MIMO system double IRS channel estimation manifold optimization tensor decomposition |
| title | Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization |
| title_full | Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization |
| title_fullStr | Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization |
| title_full_unstemmed | Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization |
| title_short | Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization |
| title_sort | channel estimation for double irs assisted millimeter wave mimo systems based on tensor decomposition and manifold optimization |
| topic | millimeter wave MIMO system double IRS channel estimation manifold optimization tensor decomposition |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00378/ |
| work_keys_str_mv | AT fengkaihui channelestimationfordoubleirsassistedmillimeterwavemimosystemsbasedontensordecompositionandmanifoldoptimization AT liuchen channelestimationfordoubleirsassistedmillimeterwavemimosystemsbasedontensordecompositionandmanifoldoptimization AT huangzheng channelestimationfordoubleirsassistedmillimeterwavemimosystemsbasedontensordecompositionandmanifoldoptimization AT songyunchao channelestimationfordoubleirsassistedmillimeterwavemimosystemsbasedontensordecompositionandmanifoldoptimization AT gaorunqin channelestimationfordoubleirsassistedmillimeterwavemimosystemsbasedontensordecompositionandmanifoldoptimization |