Research on power allocation of integrated VLPC based on deep reinforcement learning
A power allocation scheme for integrated visible light position and communication (VLPC) system based on deep reinforcement learning was proposed to achieve power allocation for communication positioning integration.First, the frame structure design of integrated VLPC was proposed.Then the channel s...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022163/ |
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| _version_ | 1841539953595514880 |
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| author | Shuai MA Bing LI Haihong SHENG Rongyan GU Hui ZHOU Hongmei WANG Yue WANG Shiyin LI |
| author_facet | Shuai MA Bing LI Haihong SHENG Rongyan GU Hui ZHOU Hongmei WANG Yue WANG Shiyin LI |
| author_sort | Shuai MA |
| collection | DOAJ |
| description | A power allocation scheme for integrated visible light position and communication (VLPC) system based on deep reinforcement learning was proposed to achieve power allocation for communication positioning integration.First, the frame structure design of integrated VLPC was proposed.Then the channel state information could be estimated by using the positioning information, and the CRLB of the positioning error was derived.Furthermore, the internal coupling relationship between positioning accuracy and communication rate was clarified.On this basis, a dynamic power allocation scheme based on deep deterministic policy gradient was proposed.Simulation results show that the proposed scheme can simultaneously achieve high-precision positioning and high-speed communication. |
| format | Article |
| id | doaj-art-07f76900074f4e0c999ed9fa4542e63a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-07f76900074f4e0c999ed9fa4542e63a2025-01-14T06:28:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-08-014312113059392351Research on power allocation of integrated VLPC based on deep reinforcement learningShuai MABing LIHaihong SHENGRongyan GUHui ZHOUHongmei WANGYue WANGShiyin LIA power allocation scheme for integrated visible light position and communication (VLPC) system based on deep reinforcement learning was proposed to achieve power allocation for communication positioning integration.First, the frame structure design of integrated VLPC was proposed.Then the channel state information could be estimated by using the positioning information, and the CRLB of the positioning error was derived.Furthermore, the internal coupling relationship between positioning accuracy and communication rate was clarified.On this basis, a dynamic power allocation scheme based on deep deterministic policy gradient was proposed.Simulation results show that the proposed scheme can simultaneously achieve high-precision positioning and high-speed communication.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022163/integrated VLPCCramér-Rao lower boundpower allocationreinforcement learning |
| spellingShingle | Shuai MA Bing LI Haihong SHENG Rongyan GU Hui ZHOU Hongmei WANG Yue WANG Shiyin LI Research on power allocation of integrated VLPC based on deep reinforcement learning Tongxin xuebao integrated VLPC Cramér-Rao lower bound power allocation reinforcement learning |
| title | Research on power allocation of integrated VLPC based on deep reinforcement learning |
| title_full | Research on power allocation of integrated VLPC based on deep reinforcement learning |
| title_fullStr | Research on power allocation of integrated VLPC based on deep reinforcement learning |
| title_full_unstemmed | Research on power allocation of integrated VLPC based on deep reinforcement learning |
| title_short | Research on power allocation of integrated VLPC based on deep reinforcement learning |
| title_sort | research on power allocation of integrated vlpc based on deep reinforcement learning |
| topic | integrated VLPC Cramér-Rao lower bound power allocation reinforcement learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022163/ |
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