Computation offloading scheme for RIS-empowered UAV edge network
In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surfac...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022196/ |
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| _version_ | 1841539983908798464 |
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| author | Bin LI Wenshuai LIU Wancheng XIE Zesong FEI |
| author_facet | Bin LI Wenshuai LIU Wancheng XIE Zesong FEI |
| author_sort | Bin LI |
| collection | DOAJ |
| description | In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU. |
| format | Article |
| id | doaj-art-98cafb03e8c4412c9c16c78c7e6e1be6 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-98cafb03e8c4412c9c16c78c7e6e1be62025-01-14T06:30:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-10-014322323359396551Computation offloading scheme for RIS-empowered UAV edge networkBin LIWenshuai LIUWancheng XIEZesong FEIIn order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022196/UAV communicationmobile edge computingreconfigurable intelligent surfacecomputation offloadingresource allocation |
| spellingShingle | Bin LI Wenshuai LIU Wancheng XIE Zesong FEI Computation offloading scheme for RIS-empowered UAV edge network Tongxin xuebao UAV communication mobile edge computing reconfigurable intelligent surface computation offloading resource allocation |
| title | Computation offloading scheme for RIS-empowered UAV edge network |
| title_full | Computation offloading scheme for RIS-empowered UAV edge network |
| title_fullStr | Computation offloading scheme for RIS-empowered UAV edge network |
| title_full_unstemmed | Computation offloading scheme for RIS-empowered UAV edge network |
| title_short | Computation offloading scheme for RIS-empowered UAV edge network |
| title_sort | computation offloading scheme for ris empowered uav edge network |
| topic | UAV communication mobile edge computing reconfigurable intelligent surface computation offloading resource allocation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022196/ |
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