In this paper a novel hybrid prediction model is proposed which enables deployment of unmanned aerial vehicle (UAV) as flying base stations (UAV-BS). A UAV can assist the base station when it is overloaded. Hence, based on the forecast of the network traffic both long term as well as short term features of the network traffic are taken care. In the proposed hybrid model, cyclical encoder is used to encode the periodic features, and Long Short Term Memory (LSTM) and Temporal Convolution Network (TCN) for long term and short term feature extraction. In our hybrid model the network traffic for the specific weekday and particular hour each day are considered. Simulation results shows the error rate of our model is 0.030 (RMSLE). Compared with the existing LSTM, TCN and ARIMA models our hybrid prediction model outperform the base line models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Deployment of UAV Base Station using Hybrid Prediction Model


    Contributors:


    Publication date :

    2024-03-15


    Size :

    487398 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Public Bicycle System Station Deployment and Scale Prediction

    Dai, Ji Feng ;Zhao, Xian Lan ;Lin, Jian Xin | Trans Tech Publications | 2013


    3D deployment algorithm for UAV base station load capacity enhancement

    Zhang, Jianwei / Zhao, Taifei / Wang, Hua et al. | SPIE | 2021


    Deployment of UAV Base Station in Cellular Networks: Models and Algorithms

    Jin, Xiaojie / Shi, Jianmai / Wu, Guohua et al. | Springer Verlag | 2022


    Deployment of UAV Base Station in Cellular Networks: Models and Algorithms

    Jin, Xiaojie / Shi, Jianmai / Wu, Guohua et al. | TIBKAT | 2022


    Deployment of UAV Base Station in Cellular Networks: Models and Algorithms

    Jin, Xiaojie / Shi, Jianmai / Wu, Guohua et al. | British Library Conference Proceedings | 2022