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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

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  
¿ø¹®¼ö·Ïó(Citation) VOL 16 NO. 03 PP. 1351 ~ 1372 (2022. 03)
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(Korean Abstract)
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(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.
Å°¿öµå(Keyword) Unmanned aerial vehicle   quality-of-experience (QoE) virtual force   selforganization   mean opinion score (MOS)   multi-UAVs  
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