Co-Evolutionary Dynamic Cell optimization Algorithm for HAPS Mobile Communications

Yohei Shibata, Wataru Takabatake, Kenji Hoshino, Atsushi Nagate, Tomoaki Ohtsuki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

High-Altitude Platform Stations (HAPSs) are attracting much attention as novel mobile communication platforms for ultra-wide coverage areas and disaster-resilient networks. Single-cell frequency reuse using multiple cells can increase capacity to cover a wide area. Thus far, we have proposed a cell configuration optimization method based on a genetic algorithm (GA). We clarified the optimal cell configuration in terms of spectral efficiency depending on the number of cells under a uniform user distribution scenario. Whereas user distributions differ depending on location. Thus, cell configuration optimization is required for a non-uniform user distribution. Each cell needs different antenna parameters for non-uniform user distributions, resulting in an increase in the number of parameters compared with a uniform user distribution, making the optimization difficult even by GA in some cases. To address this problem, we propose a co-evolutionary dynamic cell optimization algorithm. Co-evolution is one of the divide-and-conquer methods. The proposed method divides multiple cells into several groups to decrease the number of parameters to optimize at a time, and each group is optimized in order. The simulation results show that the cell configuration with the proposed method can increase the sum of the square root of throughput for non-uniform user distributions compared to that for uniform user distributions. Furthermore, the proposed method with three sub-areas can improve the sum of the square root of throughput while reducing the number of combinations performed compared to the method without subarea division for a nine-cell scenario.

本文言語English
ホスト出版物のタイトル2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665482431
DOI
出版ステータスPublished - 2022
イベント95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland
継続期間: 2022 6月 192022 6月 22

出版物シリーズ

名前IEEE Vehicular Technology Conference
2022-June
ISSN(印刷版)1550-2252

Conference

Conference95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
国/地域Finland
CityHelsinki
Period22/6/1922/6/22

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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