Future wireless cellular networks must support both enhanced mobile broadband (eMBB) and ultra-reliable low-latency communications (URLLC) to manage heterogeneous data traffic for emerging wireless services. To achieve this goal, a promising technique is to enable flexible frame structure by dynamically changing the data frame’s numerology according to the channel information as well as traffic quality-of-service requirements. However, due to non-orthogonal subcarriers, this technique can result in an interference, known as inter numerology interference (INI), thus, degrading the network performance. In this work, a novel framework is proposed to analyze the INI in the uplink cellular communications. In particular, a closed-form expression is derived for the INI power in the uplink with a flexible frame structure and a new resource allocation problem is formulated to maximize the network spectral efficiency (SE) by jointly optimizing the power allocation and numerology selection in a multi-user uplink scenario. The simulation results validate the derived theoretical INI analyses and provide guidelines for the power allocation and numerology selection.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure


    Beteiligte:
    Lotfi, Fatemeh (Autor:in) / Semiari, Omid (Autor:in)


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    2089297 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Uplink Performance Analysis for Heterogeneous Stochastic Cellular Networks

    Zhang, Jing / Xin, Yili / Li, Qiang et al. | IEEE | 2015



    Analysis of Uplink Co-Channel Interference on the Cellular Networks

    Bae, Jimin / Park, Eunhye / Han, Youngnam | IEEE | 2018



    Uplink Performance Analysis of Grant-Free NOMA Networks

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