RIS-assisted terahertz frequency band vehicle network capacity optimization
In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023176 |
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| author | Fatang CHEN Xiaoling LIU Dan WANG Ruofan ZHANG |
| author_facet | Fatang CHEN Xiaoling LIU Dan WANG Ruofan ZHANG |
| author_sort | Fatang CHEN |
| collection | DOAJ |
| description | In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity. |
| format | Article |
| id | doaj-art-72fef6d9b285411494eec90be802dfda |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-72fef6d9b285411494eec90be802dfda2025-08-20T02:09:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-10-014410311159388266RIS-assisted terahertz frequency band vehicle network capacity optimizationFatang CHENXiaoling LIUDan WANGRuofan ZHANGIn order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023176RIS;terahertz;power distribution;IoV |
| spellingShingle | Fatang CHEN Xiaoling LIU Dan WANG Ruofan ZHANG RIS-assisted terahertz frequency band vehicle network capacity optimization Tongxin xuebao RIS;terahertz;power distribution;IoV |
| title | RIS-assisted terahertz frequency band vehicle network capacity optimization |
| title_full | RIS-assisted terahertz frequency band vehicle network capacity optimization |
| title_fullStr | RIS-assisted terahertz frequency band vehicle network capacity optimization |
| title_full_unstemmed | RIS-assisted terahertz frequency band vehicle network capacity optimization |
| title_short | RIS-assisted terahertz frequency band vehicle network capacity optimization |
| title_sort | ris assisted terahertz frequency band vehicle network capacity optimization |
| topic | RIS;terahertz;power distribution;IoV |
| url | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023176 |
| work_keys_str_mv | AT fatangchen risassistedterahertzfrequencybandvehiclenetworkcapacityoptimization AT xiaolingliu risassistedterahertzfrequencybandvehiclenetworkcapacityoptimization AT danwang risassistedterahertzfrequencybandvehiclenetworkcapacityoptimization AT ruofanzhang risassistedterahertzfrequencybandvehiclenetworkcapacityoptimization |