Optimizing the design, performance, and resource efficiency of wireless networks (WNs) necessitates the ability to discern Line of Sight (LoS) and Non-Line of Sight (NLoS) scenarios across diverse applications and environments. Unmanned Aerial Vehicles (UAVs) exhibit significant potential in this regard due to their rapid mobility, aerial capabilities, and payload characteristics. Particularly, UAVs can serve as vital nonterrestrial base stations (NTBS) in the event of terrestrial base station (TBS) failures or downtime. In this paper, we propose CNN autoencoder resizer (CAR) as a framework that improves the accuracy of LoS/NLoS detection without demanding extra power consumption. Our proposed method increases the mean accuracy of detecting LoS/NLoS signals from 66% to 86%, while maintaining consistent power consumption levels. In addition, the resolution provided by CAR shows that it can be employed as a preprocessing tool in other methods to enhance the quality of signals.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    CNN Autoencoder Resizer: A Power-Efficient LoS/NLoS Detector in MIMO-enabled UAV Networks


    Beteiligte:
    Akhtarshenas, Azim (Autor:in) / Ayoobi, Navid (Autor:in) / Lopez-Perez, David (Autor:in) / Toosi, Ramin (Autor:in) / Amoozadeh, Matin (Autor:in)


    Erscheinungsdatum :

    02.09.2024


    Format / Umfang :

    455618 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    CNN Autoencoder Resizer: A Power-Efficient LoS/NLoS Detector in MIMO-enabled UAV Networks

    Akhtarshenas, Azim / Ayoobi, Navid / Lopez-Perez, David et al. | ArXiv | 2024

    Freier Zugriff

    Empirical Analysis of Learnable Image Resizer for Large-Scale Medical Image Classification and Segmentation

    Rahman, M M Shaifur / Alom, Md Zahangir / Khan, Simon et al. | IEEE | 2024


    2D LOS/NLOS urban maps and LTE MIMO performance evaluation for vehicular use cases

    Berisha, Taulant / Mecklenbrauker, Christoph F. | IEEE | 2017


    TDOA Localization Scheme with NLOS Mitigation

    Jiang, Wuyang / Ding, Baogang | IEEE | 2020


    Channel Estimation for High Speed Macro-MIMO RRH LTE-R Systems in LOS and NLOS Environments

    Zhao, Xin / Zhou, Xiaolin / Jin, Xiaocheng et al. | IEEE | 2018