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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Co-Evolutionary Dynamic Cell optimization Algorithm for HAPS Mobile Communications


    Contributors:


    Publication date :

    2022-06-01


    Size :

    669268 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Study on Cell Configuration for HAPS Mobile Communications

    Shibata, Yohei / Kanazawa, Noboru / Hoshino, Kenji et al. | IEEE | 2019



    UAVs and HAPs - potential convergence for military communications

    Tozer, T. / Grace, D. / Thompson, J. et al. | IET Digital Library Archive | 2000


    HAPS Cell Design Method for Coexistence on Terrestrial Mobile Networks

    Shibata, Yohei / Takabatake, Wataru / Hoshino, Kenji et al. | IEEE | 2023


    HAPS COOPERATIVE FLIGHT SYSTEM

    FUJII TAKAFUMI / OTA YOSHICHIKA / HOSHINO KENJI | European Patent Office | 2021

    Free access