A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF
In emergency communication scenarios, unmanned aerial vehicles (UAVs) can be used as an air relay to provide higher-quality communication for indoor users. When bandwidth resources are scarce, the use of free space optics (FSO) technology will greatly improve the resource utilization of the communic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/5/2541 |
| _version_ | 1797614351386935296 |
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| author | Zinan Guo Wei Gao Haijun Ye Guofeng Wang |
| author_facet | Zinan Guo Wei Gao Haijun Ye Guofeng Wang |
| author_sort | Zinan Guo |
| collection | DOAJ |
| description | In emergency communication scenarios, unmanned aerial vehicles (UAVs) can be used as an air relay to provide higher-quality communication for indoor users. When bandwidth resources are scarce, the use of free space optics (FSO) technology will greatly improve the resource utilization of the communication system. Therefore, we introduce FSO technology into the backhaul link of outdoor communication, and use free space optical/radio frequency (FSO/RF) technology to realize the access link of outdoor indoor communication. The deployment location of UAVs will affect not only the through wall loss of outdoor–indoor communication but also the quality of FSO communication, and, therefore, it needs to be optimized. In addition, by optimizing the power and bandwidth allocation of UAVs, we realize the efficient utilization of resources and improve the system throughput on the premise of considering information causality constraints and user fairness. The simulation results show that, by optimizing the location and power bandwidth allocation of UAVs, the system throughput is maximized, and the throughput between each user is fair. |
| first_indexed | 2024-03-11T07:10:12Z |
| format | Article |
| id | doaj.art-2a505306a7d54d8587871d701175f02b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T07:10:12Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2a505306a7d54d8587871d701175f02b2023-11-17T08:36:16ZengMDPI AGSensors1424-82202023-02-01235254110.3390/s23052541A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RFZinan Guo0Wei Gao1Haijun Ye2Guofeng Wang3State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaThe China Electronics Science Research Institute, Beijing 100041, ChinaThe School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaThe China Electronics Science Research Institute, Beijing 100041, ChinaIn emergency communication scenarios, unmanned aerial vehicles (UAVs) can be used as an air relay to provide higher-quality communication for indoor users. When bandwidth resources are scarce, the use of free space optics (FSO) technology will greatly improve the resource utilization of the communication system. Therefore, we introduce FSO technology into the backhaul link of outdoor communication, and use free space optical/radio frequency (FSO/RF) technology to realize the access link of outdoor indoor communication. The deployment location of UAVs will affect not only the through wall loss of outdoor–indoor communication but also the quality of FSO communication, and, therefore, it needs to be optimized. In addition, by optimizing the power and bandwidth allocation of UAVs, we realize the efficient utilization of resources and improve the system throughput on the premise of considering information causality constraints and user fairness. The simulation results show that, by optimizing the location and power bandwidth allocation of UAVs, the system throughput is maximized, and the throughput between each user is fair.https://www.mdpi.com/1424-8220/23/5/2541UAVFSO/RFthroughputoutdoor–indoor transmissionfairness |
| spellingShingle | Zinan Guo Wei Gao Haijun Ye Guofeng Wang A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF Sensors UAV FSO/RF throughput outdoor–indoor transmission fairness |
| title | A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF |
| title_full | A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF |
| title_fullStr | A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF |
| title_full_unstemmed | A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF |
| title_short | A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF |
| title_sort | location aware resource optimization for maximizing throughput of emergency outdoor indoor uav communication with fso rf |
| topic | UAV FSO/RF throughput outdoor–indoor transmission fairness |
| url | https://www.mdpi.com/1424-8220/23/5/2541 |
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