In this paper, we consider a cluster-to-cluster (C2C) multicast scenario where multiple transmitters in a sending cluster cooperatively transmit a common known data packet to multiple receivers of the receiving cluster. The maximization of transmission rate is firstly formulated as a max-min fairness problem given the set of receivers, and an iterative transmit beamforming optimization algorithm is proposed to obtain the optimal transmit beamforming vector. Furthermore, in order to maximize the C2C system throughput, a joint optimization algorithm of transmit beamforming and receiver selection is proposed to search the optimal set of receivers based on the above transmit beamforming algorithm. The simulation results prove that the proposed algorithm has achieved a higher throughput than the conventional schemes in a lower complexity.


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    Titel :

    Joint Optimization of Transmit Beamforming and Receiver Selection for Cluster-Based Communications


    Beteiligte:
    Gao, Yating (Autor:in) / Zhang, Ningbo (Autor:in) / Kang, Guixia (Autor:in)


    Erscheinungsdatum :

    2019-04-01


    Format / Umfang :

    270922 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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