Xin, Bee Wei and Muhammad, Nor Aishah and Saleh, Mohammed Mehdi and Anwar Apandi, Nur Ilyana (2023) Performance evaluation of UAV-assisted cellular network using stochastic geometry-based model. In: 8th IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2023, 10 October 2023 through 12 October 2023, Bali.
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Performance evaluation of UAV-assisted cellular network using stochastic geometry-based model.pdf Restricted to Repository staff only Download (2MB) |
Abstract
The deployment of unmanned aerial vehicles (UAVs) working as aerial base stations (ABSs) has appeared as a favorable solution due to its ability for quick deployment of communication links during emergency situations where wireless communication links via ground base stations (GBSs) are unavailable. This paper presents a stochastic-based geometry simulation approach for evaluating the coverage probability (CP) of a user that is served by the UAV base station within an isolated region where the GBSs are unable to function. The locations of the GBSs are assumed to be independently distributed in a 2D plane to form a homogeneous Poisson point process (PPP). User equipments (UEs) within the isolated region are served by the UAV hovering above the region's center. The simulation results are compared with the data obtained from the existing works to validate the simulation processes. The results demonstrate that increasing the height of the antenna and the radius of the isolated region leads to a decrease in the signal-to-interference ratio (SIR) CP. It is also found that SIR coverage can be improved by increasing the number of antenna elements.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Poisson point process, Stochastic geometry, Unmanned aerial vehicles |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | Maizatul Najwa Ahmad |
| Date Deposited: | 16 Oct 2024 16:17 |
| Last Modified: | 16 Oct 2024 16:17 |
| URI: | http://eprints.utem.edu.my/id/eprint/27984 |
| Statistic Details: | View Download Statistic |
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