Base station (BS) deployment is not a one-time endeavor, as when transitioning to higher frequency bands, coverage holes may arise, and the initial deployment may be unsatisfactory. In such cases, the deployment of additional BSs may be necessary. In this paper, we formulate an optimization problem to deploy additional BSs, attempting to minimize overlap coverage rate while satisfying the limitations of coverage rate and spectral efficiency. An improved genetic algorithm is adopted to solve the optimization problem. Numerical results show that the improved genetic algorithm can effectively minimize the overlap coverage rate and outperforms the original genetic algorithm and the particle swarm optimization (PSO) algorithm in terms of the minimum overlap coverage, spectral efficiency, the number additional BSs, and the convergence speed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Incremental Deployment of Base Stations for Optimal Overlap Coverage in Urban Environments


    Contributors:


    Publication date :

    2024-06-24


    Size :

    398055 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Deployment of UAV Base Stations for Wireless Communication Coverage

    Huang, Hailong / Savkin, Andrey V. / Huang, Chao | Wiley | 2022





    Optimal deployment of Road Side Units in urban environments

    Farsi, Abdelhak / Szczechowiak, Piotr | IEEE | 2014