Intelligent reflecting surfaces (IRS) have emerged as a promising technology for addressing the inherent challenges associated with terahertz (THz) bands, thereby enhancing system performance and offering immense potential for future wireless systems. However, existing single and multi-IRS-aided wireless systems often overlook crucial IRS-related factors such as IRS unit-cell dimensions, IRS gain, and inter-IRS collaboration, potentially limiting system performance. To mitigate these limitations and to leverage the unique advantages of THz band, this study investigates a multi-IRS-empowered THz system, that incorporates design parameters such as, the transceiver antenna gains, operation frequency, link distances, molecular absorption losses, beam misalignment, transceiver hardware imperfections, and statistical characteristics of the THz channel. By utilizing a sophisticated channel model that integrates the joint effects of these parameters with IRS properties and inter-IRS collaboration, this study demonstrates a significant enhancement in system performance and power savings. Moreover, exact closed-form expression and asymptotic approximation for outage probability are derived to quantify the effects of the deterministic and statistical channel parameters. These findings provide valuable insights into the practical implementation of multi-IRS-assisted THz networks, contributing to the ongoing efforts to unlock the potential of THz band for future wireless applications.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-IRS Empowered Terahertz Wireless Communication over Generalized Fading


    Beteiligte:


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    8682046 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Performance of RIS-empowered NOMA-based D2D Communication under Nakagami-m Fading

    Shaikh, Mohd Hamza Naim / Arzykulov, Sultangali / Celik, Abdulkadir et al. | IEEE | 2022