Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov
To address the problem that unmanned aerial vehicle (UAV) face complex time-varying fading channels, which could affect wireless transmission, a joint optimization problem of UAV's trajectory, reconfigurable intelligent surface (RIS) phase shift, offloading slot allocation, CPU frequency alloc...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024155/ |
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| author | KUANG Zhufang GUO Yujing DENG Xiaoheng |
| author_facet | KUANG Zhufang GUO Yujing DENG Xiaoheng |
| author_sort | KUANG Zhufang |
| collection | DOAJ |
| description | To address the problem that unmanned aerial vehicle (UAV) face complex time-varying fading channels, which could affect wireless transmission, a joint optimization problem of UAV's trajectory, reconfigurable intelligent surface (RIS) phase shift, offloading slot allocation, CPU frequency allocation, and user equipment transmission power was constructed. In order to solve the constructed problem, the stability constraints of UE and UAV task queues were transformed, and the multi-timeslot stochastic optimization problem was transformed into a deterministic optimization problem for each time slot. A JORL optimization method based on Lyapunov optimization and block coordinate descent (BCD) method was proposed. Firstly, the phase shift of RIS was solved based on the triangle inequality and the closure expression was obtained. Then the technology of transforming the non-convex into the convex problem was used to solve the offloading slot allocation, CPU frequency allocation and user equipment transmission power. Finally, the trajectory of UAV was solved based on successive convex approximation (SCA) method. Simulation results show that JORL has better performance in ensuring queue stability and reducing energy consumption. |
| format | Article |
| id | doaj-art-26f97ffa506e49fe916d8f3f04f1a14a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-26f97ffa506e49fe916d8f3f04f1a14a2025-01-14T07:25:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-09-014525827373359307Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on LyapunovKUANG ZhufangGUO YujingDENG XiaohengTo address the problem that unmanned aerial vehicle (UAV) face complex time-varying fading channels, which could affect wireless transmission, a joint optimization problem of UAV's trajectory, reconfigurable intelligent surface (RIS) phase shift, offloading slot allocation, CPU frequency allocation, and user equipment transmission power was constructed. In order to solve the constructed problem, the stability constraints of UE and UAV task queues were transformed, and the multi-timeslot stochastic optimization problem was transformed into a deterministic optimization problem for each time slot. A JORL optimization method based on Lyapunov optimization and block coordinate descent (BCD) method was proposed. Firstly, the phase shift of RIS was solved based on the triangle inequality and the closure expression was obtained. Then the technology of transforming the non-convex into the convex problem was used to solve the offloading slot allocation, CPU frequency allocation and user equipment transmission power. Finally, the trajectory of UAV was solved based on successive convex approximation (SCA) method. Simulation results show that JORL has better performance in ensuring queue stability and reducing energy consumption.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024155/unmanned aerial vehicleedge computingreconfigurable intelligent surfacetask queueLyapunov optimization |
| spellingShingle | KUANG Zhufang GUO Yujing DENG Xiaoheng Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov Tongxin xuebao unmanned aerial vehicle edge computing reconfigurable intelligent surface task queue Lyapunov optimization |
| title | Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov |
| title_full | Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov |
| title_fullStr | Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov |
| title_full_unstemmed | Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov |
| title_short | Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov |
| title_sort | research on task offloading and resource allocation in edge computing network of ris assisted uav based on lyapunov |
| topic | unmanned aerial vehicle edge computing reconfigurable intelligent surface task queue Lyapunov optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024155/ |
| work_keys_str_mv | AT kuangzhufang researchontaskoffloadingandresourceallocationinedgecomputingnetworkofrisassisteduavbasedonlyapunov AT guoyujing researchontaskoffloadingandresourceallocationinedgecomputingnetworkofrisassisteduavbasedonlyapunov AT dengxiaoheng researchontaskoffloadingandresourceallocationinedgecomputingnetworkofrisassisteduavbasedonlyapunov |