Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications
When adding intelligent reflecting surface (IRS) for assist communication in millimeter wave communication, the system becomes complicated and difficult to obtain channel state information (CSI).To solve these challenges, a hybrid intelligent reflecting surface structure was adopted, that is, the IR...
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| Format: | Article |
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Editorial Department of Journal on Communications
2021-10-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021197/ |
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| _version_ | 1841539249500848128 |
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| author | Youhua FU Dong CHEN |
| author_facet | Youhua FU Dong CHEN |
| author_sort | Youhua FU |
| collection | DOAJ |
| description | When adding intelligent reflecting surface (IRS) for assist communication in millimeter wave communication, the system becomes complicated and difficult to obtain channel state information (CSI).To solve these challenges, a hybrid intelligent reflecting surface structure was adopted, that is, the IRS was composed of a large number of passive elements and the limited radio frequency (RF) chains, where the limited RF chains were used to estimate the channel between the base station/terminal and the IRS.Based on the structure, a channel estimation scheme was proposed, which was based on the limited RF chains.First, an improved multiple signal classification algorithm was used to estimate the departure angle and arrival angle of the channel at the same time, and then a complex parallel deep neural network was proposed to estimate the path gain.Through simulation and comparison between the proposed scheme and other methods, the superiority of the proposed scheme is proved. |
| format | Article |
| id | doaj-art-9bfb4bf0a1344eff9a5248904182c2fd |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9bfb4bf0a1344eff9a5248904182c2fd2025-01-14T07:22:59ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-10-014218919659745608Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communicationsYouhua FUDong CHENWhen adding intelligent reflecting surface (IRS) for assist communication in millimeter wave communication, the system becomes complicated and difficult to obtain channel state information (CSI).To solve these challenges, a hybrid intelligent reflecting surface structure was adopted, that is, the IRS was composed of a large number of passive elements and the limited radio frequency (RF) chains, where the limited RF chains were used to estimate the channel between the base station/terminal and the IRS.Based on the structure, a channel estimation scheme was proposed, which was based on the limited RF chains.First, an improved multiple signal classification algorithm was used to estimate the departure angle and arrival angle of the channel at the same time, and then a complex parallel deep neural network was proposed to estimate the path gain.Through simulation and comparison between the proposed scheme and other methods, the superiority of the proposed scheme is proved.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021197/hybrid intelligent reflecting surfacemillimeter wavechannel estimationmultiple signal classification algo-rithmdeep neural network |
| spellingShingle | Youhua FU Dong CHEN Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications Tongxin xuebao hybrid intelligent reflecting surface millimeter wave channel estimation multiple signal classification algo-rithm deep neural network |
| title | Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications |
| title_full | Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications |
| title_fullStr | Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications |
| title_full_unstemmed | Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications |
| title_short | Channel estimation for hybrid intelligent reflecting surface structure assisted mmWave communications |
| title_sort | channel estimation for hybrid intelligent reflecting surface structure assisted mmwave communications |
| topic | hybrid intelligent reflecting surface millimeter wave channel estimation multiple signal classification algo-rithm deep neural network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021197/ |
| work_keys_str_mv | AT youhuafu channelestimationforhybridintelligentreflectingsurfacestructureassistedmmwavecommunications AT dongchen channelestimationforhybridintelligentreflectingsurfacestructureassistedmmwavecommunications |