TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Self-Organization of Multi-UAVs for Improving QoE in Unequal User DistributionAVs for Improving QoE in Unequal User Distribution |
¿µ¹®Á¦¸ñ(English Title) |
Self-Organization of Multi-UAVs for Improving QoE in Unequal User Distribution |
ÀúÀÚ(Author) |
Young Jeon
Wonseok Lee
Tran Manh Hoang
Taejoon kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 16 NO. 03 PP. 1351 ~ 1372 (2022. 03) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
A self-organizing multiple unmanned aerial vehicles (multi-UAVs) deployment based on virtual forces has a difficulty in ensuring the quality-of-experience (QoE) of users because of the difference between the assumed center for users in a hotspot and an actual center for users in the hotspot. This discrepancy is aggravated in a non-uniform and mobile user distribution. To address this problem, we propose a new density based virtual force (D-VF) multi-UAVs deployment algorithm which employs a mean opinion score (MOS) as a metric of QoE. Because MOS is based on signal-to-noise ratio (SNR), a sum of users¡¯ MOS is a good metric not only to secure a wide service area but to enhance the link quality between multi-UAVs and users. The proposed algorithm improves users¡¯ QoE by combining virtual forces with a random search force for the exploration of finding multi-UAVs¡¯ positions which maximize the sum of users¡¯ MOS. In simulation results, the proposed deployment algorithm shows the convergence of the multi-UAVs into the position of maximizing MOS. Therefore, the proposed algorithm outperforms the conventional virtual force-based deployment scheme in terms of QoE for non-uniform user distribution scenarios.
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Å°¿öµå(Keyword) |
Unmanned aerial vehicle
quality-of-experience (QoE) virtual force
selforganization
mean opinion score (MOS)
multi-UAVs
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ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
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