TY - GEN
T1 - Dynamic Antenna Control for HAPS Using Geometry-based Method in Multi-Cell Configuration
AU - Yang, Siyuan
AU - Bouazizi, Mondher
AU - Ohtsuki, Tomoaki
AU - Shibata, Yohei
AU - Takabatake, Wataru
AU - Hoshino, Kenji
AU - Nagate, Atsushi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this research, we propose a novel antenna control method for reducing the number of low throughput User Equipments (UEs) caused by the movement and rotation of High-altitude platform station (HAPS). We assume that each HAPS has three antenna arrays for serving one region that consists of three cells and that we know the UE locations in each cell. In the proposed method we first redesign the cell configuration for each HAPS and then divide all UEs into three cells based on the UE locations. Based on the radius and center location information of three new cells, we can mathematically calculate the antenna parameters by the desired coverage model. Thus, each antenna array will be controlled to serve a new cell, respectively. We evaluate the proposed method under 5 different UE distribution scenarios. The simulation results show that, in 5 different UE distribution scenarios, the proposed method can reduce the number of UEs with low throughput. Compared with the conventional method, the proposed method can achieve good throughput performance in all the scenarios.
AB - In this research, we propose a novel antenna control method for reducing the number of low throughput User Equipments (UEs) caused by the movement and rotation of High-altitude platform station (HAPS). We assume that each HAPS has three antenna arrays for serving one region that consists of three cells and that we know the UE locations in each cell. In the proposed method we first redesign the cell configuration for each HAPS and then divide all UEs into three cells based on the UE locations. Based on the radius and center location information of three new cells, we can mathematically calculate the antenna parameters by the desired coverage model. Thus, each antenna array will be controlled to serve a new cell, respectively. We evaluate the proposed method under 5 different UE distribution scenarios. The simulation results show that, in 5 different UE distribution scenarios, the proposed method can reduce the number of UEs with low throughput. Compared with the conventional method, the proposed method can achieve good throughput performance in all the scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85137802667&partnerID=8YFLogxK
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U2 - 10.1109/VTC2022-Spring54318.2022.9860609
DO - 10.1109/VTC2022-Spring54318.2022.9860609
M3 - Conference contribution
AN - SCOPUS:85137802667
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Y2 - 19 June 2022 through 22 June 2022
ER -