A selective update sensing approach for UAV-ISAC enabled relaying network
This paper proposes a selective sensing information update scheme for communication between a base station (BS) and multiple unmanned aerial vehicles (UAVs) in a relaying network. The UAVs, equipped with integrated sensing and communication (ISAC) capabilities, utilize environmental sensing measurem...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959525000207 |
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| author | Igbafe Orikumhi Nakyung Lee Jungsook Bae Sunwoo Kim |
| author_facet | Igbafe Orikumhi Nakyung Lee Jungsook Bae Sunwoo Kim |
| author_sort | Igbafe Orikumhi |
| collection | DOAJ |
| description | This paper proposes a selective sensing information update scheme for communication between a base station (BS) and multiple unmanned aerial vehicles (UAVs) in a relaying network. The UAVs, equipped with integrated sensing and communication (ISAC) capabilities, utilize environmental sensing measurements to facilitate communication in blockage-prone scenarios, such as disaster recovery and remote connectivity. Specifically, user parameters are estimated from the sensing measurements at the UAVs. Given the non-linear relationship between the sensing measurements and the communication parameters, we propose a two-stage design approach. In the first stage, the measurements are transformed into a range-and-angle-based model to determine the optimal beam between the UAVs and multiple mobile user equipment (UEs). In the second stage, a selective update mechanism, guided by a predictive rate criterion, is used to optimize the frequency of sensing information updates between the BS and the UAVs. Simulation results demonstrate the superiority of the proposed method and show an improvement in the system throughput compared to baseline schemes, while significantly reducing sensing overhead. |
| format | Article |
| id | doaj-art-e154a6f18cde4b7ca1199f1cc4272451 |
| institution | Kabale University |
| issn | 2405-9595 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-e154a6f18cde4b7ca1199f1cc42724512025-08-20T03:31:07ZengElsevierICT Express2405-95952025-06-0111348148510.1016/j.icte.2025.02.004A selective update sensing approach for UAV-ISAC enabled relaying networkIgbafe Orikumhi0Nakyung Lee1Jungsook Bae2Sunwoo Kim3Department Electronics and Computer Engineering, Hanyang University, Seoul, Republic of Korea; Corresponding authors.Department Electronics and Computer Engineering, Hanyang University, Seoul, Republic of KoreaElectronics and Telecommunications Research Institute, Republic of KoreaDepartment Electronics and Computer Engineering, Hanyang University, Seoul, Republic of Korea; Corresponding authors.This paper proposes a selective sensing information update scheme for communication between a base station (BS) and multiple unmanned aerial vehicles (UAVs) in a relaying network. The UAVs, equipped with integrated sensing and communication (ISAC) capabilities, utilize environmental sensing measurements to facilitate communication in blockage-prone scenarios, such as disaster recovery and remote connectivity. Specifically, user parameters are estimated from the sensing measurements at the UAVs. Given the non-linear relationship between the sensing measurements and the communication parameters, we propose a two-stage design approach. In the first stage, the measurements are transformed into a range-and-angle-based model to determine the optimal beam between the UAVs and multiple mobile user equipment (UEs). In the second stage, a selective update mechanism, guided by a predictive rate criterion, is used to optimize the frequency of sensing information updates between the BS and the UAVs. Simulation results demonstrate the superiority of the proposed method and show an improvement in the system throughput compared to baseline schemes, while significantly reducing sensing overhead.http://www.sciencedirect.com/science/article/pii/S24059595250002076GUnmanned aerial vehicleAmplify and forward relaysIntegrated sensing and communication (ISAC) |
| spellingShingle | Igbafe Orikumhi Nakyung Lee Jungsook Bae Sunwoo Kim A selective update sensing approach for UAV-ISAC enabled relaying network ICT Express 6G Unmanned aerial vehicle Amplify and forward relays Integrated sensing and communication (ISAC) |
| title | A selective update sensing approach for UAV-ISAC enabled relaying network |
| title_full | A selective update sensing approach for UAV-ISAC enabled relaying network |
| title_fullStr | A selective update sensing approach for UAV-ISAC enabled relaying network |
| title_full_unstemmed | A selective update sensing approach for UAV-ISAC enabled relaying network |
| title_short | A selective update sensing approach for UAV-ISAC enabled relaying network |
| title_sort | selective update sensing approach for uav isac enabled relaying network |
| topic | 6G Unmanned aerial vehicle Amplify and forward relays Integrated sensing and communication (ISAC) |
| url | http://www.sciencedirect.com/science/article/pii/S2405959525000207 |
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