Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration
This work proposes a power-efficient framework for adaptive video streaming in UAV-assisted wireless networks specially designed for disaster-hit areas where existing base stations are nonfunctional. Delivering high-quality videos requires higher video rates and more resources, which leads to increa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/9/5/356 |
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| author | Zaheer Ahmed Ayaz Ahmad Muhammad Altaf Mohammed Ahmed Hassan |
| author_facet | Zaheer Ahmed Ayaz Ahmad Muhammad Altaf Mohammed Ahmed Hassan |
| author_sort | Zaheer Ahmed |
| collection | DOAJ |
| description | This work proposes a power-efficient framework for adaptive video streaming in UAV-assisted wireless networks specially designed for disaster-hit areas where existing base stations are nonfunctional. Delivering high-quality videos requires higher video rates and more resources, which leads to increased power consumption. With the increasing demand of mobile video, efficient bandwidth allocation becomes essential. In shared networks, users with lower bitrates experience poor video quality when high-bitrate users occupy most of the bandwidth, leading to a degraded and unfair user experience. Additionally, frequent video rate switching can significantly impact user experience, making the video rates’ smooth transition essential. The aim of this research is to maximize the overall users’ quality of experience in terms of power-efficient adaptive video streaming by fair distribution and smooth transition of video rates. The joint optimization includes power minimization, efficient resource allocation, i.e., transmit power and bandwidth, and efficient two-dimensional positioning of the UAV while meeting system constraints. The formulated problem is non-convex and difficult to solve with conventional methods. Therefore, to avoid the curse of complexity, the block coordinate descent method, successive convex approximation technique, and efficient iterative algorithm are applied. Extensive simulations are performed to verify the effectiveness of the proposed solution method. The simulation results reveal that the proposed method outperforms 95–97% over equal allocation, 77–89% over random allocation, and 17–40% over joint allocation schemes. |
| format | Article |
| id | doaj-art-e360a0cc75ed4d9290054d692b4e15ea |
| institution | DOAJ |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-e360a0cc75ed4d9290054d692b4e15ea2025-08-20T03:14:33ZengMDPI AGDrones2504-446X2025-05-019535610.3390/drones9050356Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness ConsiderationZaheer Ahmed0Ayaz Ahmad1Muhammad Altaf2Mohammed Ahmed Hassan3Department of Electrical Engineering, COMSATS University Islamabad—Wah Campus, Wah Cantt 47000, PakistanDepartment of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi ArabiaDepartment of Computing, QA Higher Education (QAHE), St. James House, 10 Rosebery Avenue, London EC1R 4TF, UKDepartment of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi ArabiaThis work proposes a power-efficient framework for adaptive video streaming in UAV-assisted wireless networks specially designed for disaster-hit areas where existing base stations are nonfunctional. Delivering high-quality videos requires higher video rates and more resources, which leads to increased power consumption. With the increasing demand of mobile video, efficient bandwidth allocation becomes essential. In shared networks, users with lower bitrates experience poor video quality when high-bitrate users occupy most of the bandwidth, leading to a degraded and unfair user experience. Additionally, frequent video rate switching can significantly impact user experience, making the video rates’ smooth transition essential. The aim of this research is to maximize the overall users’ quality of experience in terms of power-efficient adaptive video streaming by fair distribution and smooth transition of video rates. The joint optimization includes power minimization, efficient resource allocation, i.e., transmit power and bandwidth, and efficient two-dimensional positioning of the UAV while meeting system constraints. The formulated problem is non-convex and difficult to solve with conventional methods. Therefore, to avoid the curse of complexity, the block coordinate descent method, successive convex approximation technique, and efficient iterative algorithm are applied. Extensive simulations are performed to verify the effectiveness of the proposed solution method. The simulation results reveal that the proposed method outperforms 95–97% over equal allocation, 77–89% over random allocation, and 17–40% over joint allocation schemes.https://www.mdpi.com/2504-446X/9/5/356adaptive video streaming2D UAV location optimizationfair video ratesmooth switchingresource optimizationtransmit power |
| spellingShingle | Zaheer Ahmed Ayaz Ahmad Muhammad Altaf Mohammed Ahmed Hassan Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration Drones adaptive video streaming 2D UAV location optimization fair video rate smooth switching resource optimization transmit power |
| title | Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration |
| title_full | Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration |
| title_fullStr | Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration |
| title_full_unstemmed | Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration |
| title_short | Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration |
| title_sort | power efficient uav positioning and resource allocation in uav assisted wireless networks for video streaming with fairness consideration |
| topic | adaptive video streaming 2D UAV location optimization fair video rate smooth switching resource optimization transmit power |
| url | https://www.mdpi.com/2504-446X/9/5/356 |
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