The generalized spatial modulation (GSM) is a new transmission technique that has a potential to reduce the RF complexity of the multiple-input multiple-output (MIMO) transceiver. This paper presents an efficient symbol detection method targeting the GSM-MIMO systems. The proposed method modifies the cost metric used in the symbol detection in order to eliminate the unnecessary interference cancellation. Based on the modified cost metric, the detection process can be represented by a regular detection tree and the optimal solution can be found by applying the depth-first sphere decoding. When compared to the previous method, the proposed method reduces the tree visits by 67.1% in average for 5x5 64-QAM MIMO systems with three active antennas.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Low-Complexity Symbol Detection for Generalized Spatial Modulation MIMO Systems


    Beteiligte:
    Yoon, Hye-Yeon (Autor:in) / Kim, Tae-Hwan (Autor:in)


    Erscheinungsdatum :

    01.09.2017


    Format / Umfang :

    600068 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fast Widely Symbol Detection for MIMO Systems

    Huang, Ruo.-Ya. / Lu, Hoang-Yang / Hung, Hsien-Seng | IEEE | 2018


    Low-Complexity Detection for Generalized Pre-Coding Aided Spatial Modulation

    Perovic, Nemanja Stefan / Haselmayr, Werner / Springer, Andreas | IEEE | 2015


    An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation

    Liu, Jianling / Chen, Zhigang / Wang, Lei | British Library Online Contents | 2016



    Low Complexity Signal Detection in MIMO Systems

    Shafivulla, Sayyed / Patel, Aaqib / Khan, Mohammed Zafar Ali | IEEE | 2018