This article investigates uplink transmission in satellite Internet of Things (IoTs) networks, where a low Earth orbit satellite having a uniform planar array provides services simultaneously for an Earth station (ES) and multiple IoT devices (IoTDs). Specifically, we use the statistical channel state information and propose two age of information (AoI)-aware uplink access schemes, namely, sleep threshold-based access (STA) and forcing update threshold-based access (FUTA), so that many IoTDs can share the same channel with the ES through cognitive-radio inspired nonorthogonal multiple access technology. By assuming that the satellite channels obey $\kappa - \mu$ shadowed distribution, we exploit the discrete-time Markov chain model and derive the average AoI closed-form expression to assess the information freshness of the proposed schemes. Simulation results are given to confirm the correctness of the theoretical analysis and the superiority of the schemes we have proposed. Moreover, it is shown that compared with the STA scheme, the FUTA can achieve better average AoI performance, and exhibits robustness against fluctuations in the transmission probability of IoTDs, enabling it to consistently maintain a lower average AoI.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    AoI-Aware Uplink CR-NOMA Schemes in Satellite Internet of Things Networks


    Beteiligte:
    Guo, Yan (Autor:in) / Lin, Min (Autor:in) / Liu, Yiwen (Autor:in) / Kong, Huaicong (Autor:in) / Wang, Jun-Bo (Autor:in) / Wang, Jiangzhou (Autor:in)


    Erscheinungsdatum :

    01.02.2025


    Format / Umfang :

    583688 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Emission-aware Resource Optimization Framework for Backscatter-enabled Uplink NOMA Networks

    Jamshed, Muhammad Ali / Khan, Wali Ullah / Pervaiz, Haris et al. | IEEE | 2022


    Uplink Performance Analysis of Grant-Free NOMA Networks

    Zhengy, Canjian / Zhengy, Fu-Chun / Luoy, Jingjing et al. | IEEE | 2022



    Performance Analysis of Ambient Backscatter Uplink NOMA Networks

    Chrysologou, Athanasios P. / Chatzidiamantis, Nestor D. / Boulogeorgos, Alexandros-Apostolos A. et al. | IEEE | 2023