Channel state information acquisition algorithm based on deep learning for IoT
To solve the problem of high feedback overhead when the user sends channel state information (CSI) to the base station in massive multiple input multiple output (MIMO) based on Internet of things system,a CSI feedback network based on deep learning was proposed to feedback CSI.Firstly,the proposed n...
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Format: | Article |
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China InfoCom Media Group
2019-03-01
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Series: | 物联网学报 |
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Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00085/ |
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author | Yong LIAO Haimei YAO Yuanxiao HUA |
author_facet | Yong LIAO Haimei YAO Yuanxiao HUA |
author_sort | Yong LIAO |
collection | DOAJ |
description | To solve the problem of high feedback overhead when the user sends channel state information (CSI) to the base station in massive multiple input multiple output (MIMO) based on Internet of things system,a CSI feedback network based on deep learning was proposed to feedback CSI.Firstly,the proposed network used convolutional neural network (CNN) to extract channel feature vectors and maxpooling to compress the data.Then the compressed CSI was decompressed by using full connection and CNN to restore the original channel.The simulation results show that compared with the existing CSI feedback methods,the CSI recovered by the proposed CSI feedback network is closer to the original channel,and the reconstruction quality is improved significantly. |
format | Article |
id | doaj-art-a6c2238db1444fd8b94a104413233d92 |
institution | Kabale University |
issn | 2096-3750 |
language | zho |
publishDate | 2019-03-01 |
publisher | China InfoCom Media Group |
record_format | Article |
series | 物联网学报 |
spelling | doaj-art-a6c2238db1444fd8b94a104413233d922025-01-15T02:52:19ZzhoChina InfoCom Media Group物联网学报2096-37502019-03-01381359644039Channel state information acquisition algorithm based on deep learning for IoTYong LIAOHaimei YAOYuanxiao HUATo solve the problem of high feedback overhead when the user sends channel state information (CSI) to the base station in massive multiple input multiple output (MIMO) based on Internet of things system,a CSI feedback network based on deep learning was proposed to feedback CSI.Firstly,the proposed network used convolutional neural network (CNN) to extract channel feature vectors and maxpooling to compress the data.Then the compressed CSI was decompressed by using full connection and CNN to restore the original channel.The simulation results show that compared with the existing CSI feedback methods,the CSI recovered by the proposed CSI feedback network is closer to the original channel,and the reconstruction quality is improved significantly.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00085/massive MIMOinternet of thingsCSI feedbackdeep learning |
spellingShingle | Yong LIAO Haimei YAO Yuanxiao HUA Channel state information acquisition algorithm based on deep learning for IoT 物联网学报 massive MIMO internet of things CSI feedback deep learning |
title | Channel state information acquisition algorithm based on deep learning for IoT |
title_full | Channel state information acquisition algorithm based on deep learning for IoT |
title_fullStr | Channel state information acquisition algorithm based on deep learning for IoT |
title_full_unstemmed | Channel state information acquisition algorithm based on deep learning for IoT |
title_short | Channel state information acquisition algorithm based on deep learning for IoT |
title_sort | channel state information acquisition algorithm based on deep learning for iot |
topic | massive MIMO internet of things CSI feedback deep learning |
url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00085/ |
work_keys_str_mv | AT yongliao channelstateinformationacquisitionalgorithmbasedondeeplearningforiot AT haimeiyao channelstateinformationacquisitionalgorithmbasedondeeplearningforiot AT yuanxiaohua channelstateinformationacquisitionalgorithmbasedondeeplearningforiot |