This paper derives an achievable rate for centralized uplink cell-free massive MIMO (CF-mMIMO) networks when using superimposed pilots in combination with advanced combining schemes. This rate relies on a novel channel estimation technique that uncorrelates the combiner applied to any given information symbol from the channel estimate and its corresponding channel estimation error. The performance of powerful combining strategies such as minimum mean square error (MMSE) or zero-forcing (ZF) can then be assessed in the context of superimposed pilot transmission. Results show that despite superimposed training might be suitable when using the simple maximum ratio combining (MRC) technique, its performance when compared with regular pilot transmission falls short when advanced combining strategies are used.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Superimposed Training in Cell-Free Massive MIMO: Is It Really Worth It?


    Beteiligte:


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    554089 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Design of Generalized Superimposed Training for Uplink Cell-free Massive MIMO Systems

    Ge, Hanxiao / Garg, Navneet / Ratnarajah, Tharmalingam | IEEE | 2022


    Pilot Decontamination Based on Superimposed Pilots in Massive MIMO Systems

    Lago, Luis A. / Zhang, Yan / He, Zunwen et al. | IEEE | 2018



    Cell-Free Massive MIMO Versus Small Cells

    Sheela Rani, Neelagiri / Vishnu Vardhan, D. / Mamatha, G. et al. | Springer Verlag | 2023


    User Association in Scalable Cell-Free Massive MIMO Systems

    D'Andrea, Carmen / Larsson, Erik G. | IEEE | 2020