Characterising the fundamental energy efficiency (EE) limits of massive Multiple-Input-Multiple- Output (MIMO) systems is significant for the development of green wireless communications. This paper analyses the adaptation of optimal BS transmitted power according to channel conditions and users’ Quality of Service (QoS) requirements. The optimal BS transmitted power has the potential to be utilised as an effective strategy to reduce BSs power consumption and consequently enhance the EE of the system. Thus, this paper conducts an analytical closed-form expression of optimal downlink BS transmitted power for massive MIMO systems with Zero Forcing (ZF) beamforming processing and perfect Channel State Information (CSI). User required data rate and maximum allowable outage probability are considered as users’ QoS constraints. Both of theoretical and the simulation results, for several transmission modes, indicate that the average EE per BS is a unimodal function of the user required data rate that jointly increased up to the maximum point of EE, but further increases in the data rate can only come at a loss in average EE per BS. As the higher the data rate, the higher the circuit and transmit power consumption, due to the need for a larger number of BS antennas. The results indicate that system EE can be enhanced by reducing energy consumption through optimal BS transmitted power. This is achieved by adaptation to channel conditions and users’ QoS requirements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Energy Efficient Base Station Transmit Power Adaptation for Green 5G Massive MIMO Systems


    Beteiligte:
    Khodamoradi, Vahid (Autor:in) / Sali, A. (Autor:in) / Salah, Asem A. (Autor:in) / Ali, B. M. (Autor:in) / Abdullah, R. S. A. Raja (Autor:in) / Krikidis, I. (Autor:in)


    Erscheinungsdatum :

    01.04.2019


    Format / Umfang :

    259516 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ResNet-Based Top-N Transmit Antenna Selection Algorithm for Massive MIMO Systems

    Zheng, Yunfei / Zhang, Yuxiang / Zhang, Jianhua et al. | IEEE | 2022


    On PAPR Reduction and Transmit Distortion Compensation in Massive MIMO OFDM Systems

    Khan, M. Qurratulain / Nisar, M. Danish / Khan, Hammad A. | IEEE | 2021



    Cell Splitting for Energy-Efficient Massive MIMO

    Apilo, Olli / Lasanen, Mika / Maemmelae, Aarne et al. | IEEE | 2017